Change search
Link to record
Permanent link

Direct link
BETA
Alternative names
Publications (10 of 139) Show all publications
Källström, E., Olsson, T., Lindström, J., Håkansson, L. & Larsson, J. (2018). On-board clutch slippage detection and diagnosis in heavy duty machine. International Journal of Prognostics and Health Management, 9(1), Article ID 007.
Open this publication in new window or tab >>On-board clutch slippage detection and diagnosis in heavy duty machine
Show others...
2018 (English)In: International Journal of Prognostics and Health Management, ISSN 2153-2648, E-ISSN 2153-2648, Vol. 9, no 1, article id 007Article in journal (Refereed) Published
Abstract [en]

In order to reduce unnecessary stops and expensive downtime originating from clutch failure of construction equipment machines; adequate real time sensor data measured on the machine in combination with feature extraction and classification methods may be utilized. This paper presents a framework with feature extraction methods and an anomaly detection module combined with Case-Based Reasoning (CBR) for on-board clutch slippage detection and diagnosis in heavy duty equipment. The feature extraction methods used are Moving Average Square Value Filtering (MASVF) and a measure of the fourth order statistical properties of the signals implemented as continuous queries over data streams. The anomaly detection module has two components, the Gaussian Mixture Model (GMM) and the Logistics Regression classifier. CBR is a learning approach that classifies faults by creating a new solution for a new fault case from the solution of the previous fault cases. Through use of a data stream management system and continuous queries (CQs), the anomaly detection module continuously waits for a clutch slippage event detected by the feature extraction methods, the query returns a set of features, which activates the anomaly detection module. The first component of the anomaly detection module trains a GMM to extracted features while the second component uses a Logistic Regression classifier for classifying normal and anomalous data. When an anomaly is detected, the Case-Based diagnosis module is activated for fault severity estimation. © 2018, Prognostics and Health Management Society. All rights reserved.

Place, publisher, year, edition, pages
Prognostics and Health Management Society, 2018
Keywords
Case-based reasoning, Fourth order statistics, Gaussian mixture model, Linear regression and moving average square value filtering
National Category
Signal Processing
Identifiers
urn:nbn:se:bth-16086 (URN)2-s2.0-85044281699 (Scopus ID)
Available from: 2018-04-06 Created: 2018-04-06 Last updated: 2018-04-16Bibliographically approved
Xu, C., Källström, E., Risch, T., Lindström, J., Håkansson, L. & Larsson, J. (2017). Scalable validation of industrial equipment using a functional DSMS. Journal of Intelligent Information Systems, 48(3), 553-577
Open this publication in new window or tab >>Scalable validation of industrial equipment using a functional DSMS
Show others...
2017 (English)In: Journal of Intelligent Information Systems, ISSN 0925-9902, E-ISSN 1573-7675, Vol. 48, no 3, p. 553-577Article in journal (Refereed) Published
Abstract [en]

A stream validation system called SVALI is developed in order to continuously validate correct behavior of industrial equipment. A functional data model allows the user to define meta-data, analyses, and queries about the monitored equipment in terms of types and functions. Two different approaches to validate that sensor readings in a data stream indicate correct equipment behavior are supported: with the model-and-validate approach anomalies are detected based on a physical model, while with learn-and-validate anomalies are detected by comparing streaming data with a model of normal behavior learnt during a training period. Both models are expressed on a high level using the functional data model and query language. The experiments show that parallel stream processing enables SVALI to scale very well with respect to system throughput and response time. The paper is based on a real world application for wheel loader slippage detection at Volvo Construction Equipment implemented in SVALI. © 2016 The Author(s)

Place, publisher, year, edition, pages
Springer-Verlag New York, 2017
Keywords
Construction equipment; Data communication systems; Equipment; High level languages; Machinery; Query languages, Anomaly detection; Data stream; Data stream management; Functional data modeling; Industrial equipment; Parallelizations; Slippage detection; Volvo construction equipments, Information management
National Category
Signal Processing
Identifiers
urn:nbn:se:bth-12975 (URN)10.1007/s10844-016-0427-2 (DOI)000401468300004 ()2-s2.0-84982266338 (Scopus ID)
Available from: 2016-08-31 Created: 2016-08-31 Last updated: 2018-01-16Bibliographically approved
Premachandran, R. K. & Håkansson, L. (2016). Comparison of spectral properties of the vibration signals and line pressure signals of DTH drills. In: ICSV 2016 - 23rd International Congress on Sound and Vibration: From Ancient to Modern Acoustics: . Paper presented at 016 23rd International Congress on Sound and Vibration, ICSV, Athens. International Institute of Acoustics and Vibrations
Open this publication in new window or tab >>Comparison of spectral properties of the vibration signals and line pressure signals of DTH drills
2016 (English)In: ICSV 2016 - 23rd International Congress on Sound and Vibration: From Ancient to Modern Acoustics, International Institute of Acoustics and Vibrations , 2016Conference paper, Published paper (Refereed)
Abstract [en]

Quantifying and Monitoring of drilling performance are becoming exceedingly important in the case of Down the Hole drilling. Various economic, environmental and safety constraints are driving the drilling process to become more efficient. To make a robust system that would enable the performance/condition monitoring of the drilling, we must understand how different properties like different line pressure etc. respond to various drilling conditions and what information can they provide regarding the Drilling Performance. A comparison of different properties like spectral properties, of the vibration signals and Pressure signals under known conditions would enable better understanding of the drilling system and the physics behind the process. A comparison is made between the Spectral properties of the vibrational signals obtained from remote locations on the drill rig and pressure signals that provide the feed and holdback forces to the drill string and a correlation between their characteristics and patterns under good and bad drilling conditions have been made. A simplified model of the system is simulated and results are compared with the patterns obtained from analyzing the Vibration signals.

Place, publisher, year, edition, pages
International Institute of Acoustics and Vibrations, 2016
Keywords
Drill strings; Drilling; Drills; Oil well drilling, Down-the-hole drillings; Drilling performance; Drilling process; Drilling systems; Safety constraint; Spectral properties; Vibration signal; Vibrational signals, Vibration analysis
National Category
Mechanical Engineering Signal Processing
Identifiers
urn:nbn:se:bth-13181 (URN)000388480403099 ()2-s2.0-84987875820 (Scopus ID)9789609922623 (ISBN)
Conference
016 23rd International Congress on Sound and Vibration, ICSV, Athens
Available from: 2016-10-04 Created: 2016-10-03 Last updated: 2017-06-16Bibliographically approved
Claesson, L. & Håkansson, L. (2016). Displacement measurements versus time using a remote inclined plane laboratory. In: Proceedings of 2016 13th International Conference on Remote Engineering and Virtual Instrumentation, REV 2016: . Paper presented at 13th International Conference on Remote Engineering and Virtual Instrumentation, REV 2016; Madrid (pp. 355-356). IEEE Press
Open this publication in new window or tab >>Displacement measurements versus time using a remote inclined plane laboratory
2016 (English)In: Proceedings of 2016 13th International Conference on Remote Engineering and Virtual Instrumentation, REV 2016, IEEE Press, 2016, p. 355-356Conference paper, Published paper (Refereed)
Abstract [en]

This paper describes a remote implementation of Galileos inclined plane experiment, focused on secondary school students. A remotely controlled inclined plane has been designed and implemented in the VISIR lab at Blekinge Institute of Technology (BTH), Sweden. In this demo session, it will be demonstrated how to perform measurements remotely in the remotely controlled Inclined Plane Laboratory. A web camera is used to show the experiment. Data concerning the distance a cube has slided down the inclined plane are collected. These data are stored in a file and can subsequently be analyzed by the students. The friction acting on the cube sliding down the inclined plane and its acceleration may for instance be investigated.

Place, publisher, year, edition, pages
IEEE Press, 2016
Series
International Conference on Remote Engineering and Virtual Instrumentation, ISSN 2330-9997
Keywords
Education; Experiments; Laboratories; Students, Inclined planes; Remote implementation; Remote-labs; Secondary schools; Web camera, Machinery
National Category
Signal Processing
Identifiers
urn:nbn:se:bth-13143 (URN)10.1109/REV.2016.7444501 (DOI)000382146400072 ()2-s2.0-84966526633 (Scopus ID)978-146738246-5 (ISBN)
Conference
13th International Conference on Remote Engineering and Virtual Instrumentation, REV 2016; Madrid
Note

Conference of 13th International Conference on Remote Engineering and Virtual Instrumentation, REV 2016 ; Conference Date: 24 February 2016 Through 26 February 2016; Conference Code:121080

Available from: 2016-10-04 Created: 2016-10-03 Last updated: 2016-11-08Bibliographically approved
Göthberg, M., Enblom, S., Rantakokko, R. & Håkansson, L. (2016). Efficient multi channel vibration measuremen: systematic approach. In: ICSV 2016 - 23rd International Congress on Sound and Vibration: From Ancient to Modern Acoustics: . Paper presented at 23rd International Congress on Sound and Vibration, ICSV, Athens; Greece.
Open this publication in new window or tab >>Efficient multi channel vibration measuremen: systematic approach
2016 (English)In: ICSV 2016 - 23rd International Congress on Sound and Vibration: From Ancient to Modern Acoustics, 2016Conference paper, Published paper (Refereed)
Abstract [en]

In Atlas Copco a wide range of machines is produced from surface drill rigs, exploration drill rigs, underground drill rigs both for mining and construction to underground loader and haulers for mines. Recently new rock excavation methods have developed in cooperation with large mining companies. The machines are produced in low volume and often customized although having a modular approach. Time for validation is limited due to machines available for test are planned for customer delivery. It is on regular basis needed to validate and investigate vibrational behavior of installations as power packs and drivelines to get loads for simulation, identify resonances, operational deflection shapes, and vibration and stress levels for life length estimations under operational conditions. The time for a 40-180 Channel measurement is now down the range of 1-3 days. To reduce the time it takes to perform measurement a systematic approach has been taken that includes mainly three areas. First the Bookkeeping of all information and data needed for the analysis and reporting is input before or during the measurement. Systematic Approach of how to setup sensors, handle cable and equipment, planning and measurement. This includes practical examples of how to. Finally it is very important to take steps to assure Quality early in the measurement and also avoiding disturbances in the sensor path. There will be practical examples of important disturbances to look out for and quality check to perform. It should also be noted that the measurements is regular measured in mines or start up halls under rpm sweeps or/and operating conditions of the machines.

Keywords
Drills; Excavation; Mining drills, Channel measurements; Length estimation; Mining companies; Operating condition; Operational conditions; Operational deflection shapes; Underground loaders; Vibrational behavior, Drilling rigs
National Category
Mechanical Engineering Signal Processing
Identifiers
urn:nbn:se:bth-13208 (URN)2-s2.0-84987858984 (Scopus ID)9789609922623 (ISBN)
Conference
23rd International Congress on Sound and Vibration, ICSV, Athens; Greece
Available from: 2016-10-03 Created: 2016-10-03 Last updated: 2017-03-13Bibliographically approved
Gothberg, M., Enblom, S., Rantakokko, R. & Håkansson, L. (2016). EFFICIENT MULTI CHANNEL VIBRATION MEASUREMENT-SYSTEMATIC APPROACH. In: Vogiatzis, K Kouroussis, G Crocker, M Pawelczyk, M (Ed.), PROCEEDINGS OF THE 23RD INTERNATIONAL CONGRESS ON SOUND AND VIBRATION: FROM ANCIENT TO MODERN ACOUSTICS. Paper presented at 23rd International Congress on Sound and Vibration (ICSV), JUL 10-14, 2016, Athens, GREECE. INT INST ACOUSTICS & VIBRATION
Open this publication in new window or tab >>EFFICIENT MULTI CHANNEL VIBRATION MEASUREMENT-SYSTEMATIC APPROACH
2016 (English)In: PROCEEDINGS OF THE 23RD INTERNATIONAL CONGRESS ON SOUND AND VIBRATION: FROM ANCIENT TO MODERN ACOUSTICS / [ed] Vogiatzis, K Kouroussis, G Crocker, M Pawelczyk, M, INT INST ACOUSTICS & VIBRATION , 2016Conference paper, Published paper (Refereed)
Abstract [en]

In Atlas Copco a wide range of machines is produced from surface drill rigs, exploration drill rigs, underground drill rigs both for mining and construction to underground loader and haulers for mines. Recently new rock excavation methods have developed in cooperation with large mining companies. The machines are produced in low volume and often customized although having a modular approach. Time for validation is limited due to machines available for test are planned for customer delivery. It is on regular basis needed to validate and investigate vibrational behavior of installations as power packs and drivelines to get loads for simulation, identify resonances, operational deflection shapes, and vibration and stress levels for life length estimations under operational conditions. The time for a 40-180 Channel measurement is now down the range of 13 days. To reduce the time it takes to perform measurement a systematic approach has been taken that includes mainly three areas. First the Bookkeeping of all information and data needed for the analysis and reporting is input before or during the measurement. Systematic Approach of how to setup sensors, handle cable and equipment, planning and measurement. This includes practical examples of how to. Finally it is very important to take steps to assure Quality early in the measurement and also avoiding disturbances in the sensor path. There will be practical examples of important disturbances to look out for and quality check to perform. It should also be noted that the measurements is regular measured in mines or start up halls under rpm sweeps or/and operating conditions of the machines.

Place, publisher, year, edition, pages
INT INST ACOUSTICS & VIBRATION, 2016
Series
Proceedings of the International Congress on Sound and Vibration, ISSN 2329-3675
National Category
Signal Processing
Identifiers
urn:nbn:se:bth-14566 (URN)000388480403111 ()978-960-99226-2-3 (ISBN)
Conference
23rd International Congress on Sound and Vibration (ICSV), JUL 10-14, 2016, Athens, GREECE
Available from: 2017-06-19 Created: 2017-06-19 Last updated: 2017-06-19Bibliographically approved
Elisabeth, K., John, L., Lars, H., Magnus, K., Renderstedt, R. & Larsson, J. (2016). Identification of vibration properties of heavy duty machine driveline parts as a base for adequate condition monitoring: Axle. In: Vogiatzis, K; Kouroussis, G; Crocker, M; Pawelczyk, M (Ed.), ICSV 2016 - 23rd International Congress on Sound and Vibration: From Ancient to Modern Acoustics: . Paper presented at 23rd International Congress on Sound and Vibration, ICSV 2016; Athenaeum Intercontinental HotelAthens; Greece. INT INST ACOUSTICS & VIBRATION
Open this publication in new window or tab >>Identification of vibration properties of heavy duty machine driveline parts as a base for adequate condition monitoring: Axle
Show others...
2016 (English)In: ICSV 2016 - 23rd International Congress on Sound and Vibration: From Ancient to Modern Acoustics / [ed] Vogiatzis, K; Kouroussis, G; Crocker, M; Pawelczyk, M, INT INST ACOUSTICS & VIBRATION , 2016Conference paper, Published paper (Refereed)
Abstract [en]

With increasing complexity in the heavy duty construction equipment, early fault detection of certain components in the machine becomes more and more challenging due to too many fault codes generated when a failure occurs. The axle is one such component. The axle transfers driving torque from the transmission to the wheels and axle failure may result in costly downtime of construction equipment. To reduce service cost and to improve uptime, adequate condition monitoring based on sensor data from the axle is considered by for instance measuring vibrations on the axle. Further, the analysis of the data collected has been has been carried out using adequate signal processing methods. The results indicate that the vibration properties of the axle are relevant for early fault detection of the axle. Thus, the health of the axle may be continuously monitored on-board using the vibration information and if the axle health starts to degrade a service and/or repair may be scheduled well in advance of a potential axle failure and in that way the downtime of a machine may be reduced and costly replacements and repairs avoided.

Place, publisher, year, edition, pages
INT INST ACOUSTICS & VIBRATION, 2016
Series
Proceedings of the International Congress on Sound and Vibration, ISSN 2329-3675
Keywords
Axles; Condition monitoring; Construction equipment; Fault detection; Machine components; Machinery; Maintenance; Signal processing, Axle failures; Driving torques; Heavy duty; Machine driveline; Sensor data; Service costs; Vibration properties, Drive axles
National Category
Signal Processing Mechanical Engineering
Identifiers
urn:nbn:se:bth-13189 (URN)000388480402101 ()2-s2.0-84987920136 (Scopus ID)9789609922623 (ISBN)
Conference
23rd International Congress on Sound and Vibration, ICSV 2016; Athenaeum Intercontinental HotelAthens; Greece
Available from: 2016-10-03 Created: 2016-10-03 Last updated: 2017-06-16Bibliographically approved
Källström, E., Lindström, J., Lars, H., Karlberg, M., Öberg, O., Renderstedt, R. & Larsson, J. (2016). Identification of vibration properties of heavy duty machine driveline parts as a base for adequate condition monitoring: Torque converter. In: Vogiatzis, K; Kouroussis, G; Crocker, M; Pawelczyk, M (Ed.), ICSV 2016 - 23rd International Congress on Sound and Vibration: From Ancient to Modern Acoustics: . Paper presented at 23rd International Congress on Sound and Vibration, ICSV 2016; Athenaeum Intercontinental HotelAthens; Greece. INT INST ACOUSTICS & VIBRATION
Open this publication in new window or tab >>Identification of vibration properties of heavy duty machine driveline parts as a base for adequate condition monitoring: Torque converter
Show others...
2016 (English)In: ICSV 2016 - 23rd International Congress on Sound and Vibration: From Ancient to Modern Acoustics / [ed] Vogiatzis, K; Kouroussis, G; Crocker, M; Pawelczyk, M, INT INST ACOUSTICS & VIBRATION , 2016Conference paper, Published paper (Refereed)
Abstract [en]

Improving uptime is paramount in the heavy duty construction equipment business. Failure of critical components in the heavy duty machine may lead to unnecessary stops and expensive downtime. The torque converter, a complex component of the driveline, transmits and multiplies torque from the engine to the gearbox, and its failure may not only lead to the machine standing still but may also lead to damage of other parts of the automatic transmission. For adequate condition monitoring of the torque converter, different sensor data are measured on a construction equipment machine during controlled driving sessions. Vibration has been measured on the torque converter. An initial investigation of the vibration measured on the torque converter has been carried out to identify its vibration properties in order to enable its health monitoring to prevent failure. Initial signal analysis of the data have been carried out using Order Power Spectrum and Order Modulation Spectrum methods. The results indicate that the torque converter vibration properties contain information relevant for early fault detection.

Place, publisher, year, edition, pages
INT INST ACOUSTICS & VIBRATION, 2016
Series
Proceedings of the International Congress on Sound and Vibration, ISSN 2329-3675
Keywords
Construction equipment; Fault detection; Machine components; Machinery; Outages; Torque; Torque converters, Automatic transmission; Complex components; Converter vibration; Critical component; Health monitoring; Machine driveline; Modulation spectrum; Vibration properties, Condition monitoring
National Category
Signal Processing Mechanical Engineering
Identifiers
urn:nbn:se:bth-13185 (URN)000388480402086 ()2-s2.0-84987896981 (Scopus ID)9789609922623 (ISBN)
Conference
23rd International Congress on Sound and Vibration, ICSV 2016; Athenaeum Intercontinental HotelAthens; Greece
Available from: 2016-10-03 Created: 2016-10-03 Last updated: 2017-06-16Bibliographically approved
Khan, I., Claesson, L. & Håkansson, L. (2016). Performing active noise control and acoustic experiments using real test setup via the Internet. In: Proceedings of 2016 13th International Conference on Remote Engineering and Virtual Instrumentation, REV 2016: . Paper presented at 13th International Conference on Remote Engineering and Virtual Instrumentation, REV 2016; Madrid (pp. 375-376). IEEE Press
Open this publication in new window or tab >>Performing active noise control and acoustic experiments using real test setup via the Internet
2016 (English)In: Proceedings of 2016 13th International Conference on Remote Engineering and Virtual Instrumentation, REV 2016, IEEE Press, 2016, p. 375-376Conference paper, Published paper (Refereed)
Abstract [en]

In In this demo session, it will be shown how to perform Active Noise Control (ANC) and various important Acoustic experiments remotely on the remotely controlled ANC laboratory developed by Blekinge Institute of Technology, Sweden. An important consideration in ANC is the active control’s performance dependence on the spatial position of the reference and error sensors, etc. This will be highlighted particularly. This feature is recently implemented using stepper motors which can be controlled via the Internet. It will be demonstrated how to write and upload active noise control algorithms e.g. Filtered-X Least Mean Square (FXLMS) to a digital signal processors (DSP) board. For the acoustic experiments various interesting acoustic properties such as waveforms, speed of sound, mode shapes and sound pressure spectra may be measured. A short guide about the measurements and PowerPoint presentation will be provided during the demo to facilitate for the users. The Lab setup and the equipment will be shown to the user using Skype and a web camera.

Place, publisher, year, edition, pages
IEEE Press, 2016
Series
nternational Conference on Remote Engineering and Virtual Instrumentation, ISSN 2330-9997
Keywords
Acoustic properties; Acoustic variables control; Active noise control; Algorithms; Digital signal processors; Internet; Signal processing; Stepping motors, Acoustic experiments; Acoustic measurements; Active noise control (ANC); Digital signal processors (DSP); Filtered x least mean squares; Power Point presentations; Remote labs; Spatial positions, Acoustic noise
National Category
Signal Processing
Identifiers
urn:nbn:se:bth-13141 (URN)10.1109/REV.2016.7444506 (DOI)000382146400077 ()2-s2.0-84966632285 (Scopus ID)978-146738246-5 (ISBN)
Conference
13th International Conference on Remote Engineering and Virtual Instrumentation, REV 2016; Madrid
Note

Conference of 13th International Conference on Remote Engineering and Virtual Instrumentation, REV 2016 ; Conference Date: 24 February 2016 Through 26 February 2016; Conference Code:121080

Available from: 2016-10-04 Created: 2016-10-03 Last updated: 2016-11-08Bibliographically approved
Källström, E., Lindström, J., Håkansson, L., Karlberg, M., Lundin, J., Svensson, M. & Larsson, J. (2015). ANALYSIS OF AUTOMATIC TRANSMISSION VIBRATION FOR CLUTCH SLIPPAGE DETECTION. In: Crocker, MJ; Pawelczyk, M; Pedrielli, F; Carletti, E; Luzzi, S (Ed.), PROCEEDINGS OF THE 22ND INTERNATIONAL CONGRESS ON SOUND AND VIBRATION: MAJOR CHALLENGES IN ACOUSTICS, NOISE AND VIBRATION RESEARCH, 2015. Paper presented at ICSV22 - The Twenty Second International Congress on Sound and Vibration, Florence. INT INST ACOUSTICS & VIBRATION, AUBURN UNIV
Open this publication in new window or tab >>ANALYSIS OF AUTOMATIC TRANSMISSION VIBRATION FOR CLUTCH SLIPPAGE DETECTION
Show others...
2015 (English)In: PROCEEDINGS OF THE 22ND INTERNATIONAL CONGRESS ON SOUND AND VIBRATION: MAJOR CHALLENGES IN ACOUSTICS, NOISE AND VIBRATION RESEARCH, 2015 / [ed] Crocker, MJ; Pawelczyk, M; Pedrielli, F; Carletti, E; Luzzi, S, INT INST ACOUSTICS & VIBRATION, AUBURN UNIV , 2015Conference paper, Published paper (Refereed)
Abstract [en]

Heavy duty construction equipment is generally equipped with automatic transmission enabling to change gear ratio automatically. The clutches in an automatic transmission transfer torque from the engine to the gearbox and clutch failures may result in costly downtime of construction equipment. To prevent costly downtime of construction equipment, condition monitoring in combination with condition based maintenance may be utilized. Different sensor data are collected on a machine that enables condition monitoring. Vibration have been measured on an automatic transmission in a construction equipment machine during controlled driving sessions, with and without clutch slippage, on a test track. An initial investigation of the vibration measured on the automatic transmission have been carried out with the purpose to find out if the vibration may contain reliable information related to clutch slippage considered to be abnormal. Initial signal analysis of the data have been carried out using Spectrogram and Spectral Kurtosis methods. The results indicate that information related to abnormal clutch slippage may be extracted from vibration measured on an automatic transmission in a construction equipment machine.

Place, publisher, year, edition, pages
INT INST ACOUSTICS & VIBRATION, AUBURN UNIV, 2015
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:bth-11950 (URN)000398997003083 ()978-88-88942-48-3 (ISBN)
Conference
ICSV22 - The Twenty Second International Congress on Sound and Vibration, Florence
Available from: 2016-06-01 Created: 2016-06-01 Last updated: 2017-06-16Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0001-7732-1898

Search in DiVA

Show all publications