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Publications (10 of 45) Show all publications
Claesson, L., Lundberg, J., Zackrisson, J., Johansson, S. & Håkansson, L. (2018). Expert Competence in Remote Diagnostics: Industrial Interests, Educational Goals, Flipped Classroom & Laboratory Settings. In: Michael E. Auer & Danilo G. Zutin (Ed.), Online Engineering & Internet of Things: Proceedings of the 14th International Conference on Remote Engineering and Virtual Instrumentation REV 2017, held 15-17 March 2017, Columbia University, New York, USA. Paper presented at 14th International Conference on Remote Engineering and Virtual Instrumentation (REV2017), New York, USA, March 15-17, 2017 (pp. 438-451). Springer, 22
Open this publication in new window or tab >>Expert Competence in Remote Diagnostics: Industrial Interests, Educational Goals, Flipped Classroom & Laboratory Settings
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2018 (English)In: Online Engineering & Internet of Things: Proceedings of the 14th International Conference on Remote Engineering and Virtual Instrumentation REV 2017, held 15-17 March 2017, Columbia University, New York, USA / [ed] Michael E. Auer & Danilo G. Zutin, Springer, 2018, Vol. 22, p. 438-451Conference paper, Published paper (Refereed)
Abstract [en]

The manufacturing industry are dependent of engineering expertise. Currently the ability to supply the industry with engineering graduates and staff that have an up-to- date and relevant competences might be considered as a challenge for the society. In this paper an education approach is presented where academia - industry - research institutes cooperate around the development and implementation of master level courses. The methods applied to reach the educational goals, concerning expert competence within remote diagnostics, have been on site and remote lectures given by engineering, medical and metrology experts. The pedagogical approach utilized has been flipped classroom. The main results show that academic courses developed in cooperation with industry requires flexibility, time and effort from the involved partners. The evaluation interviews indicate that student are satisfied with the courses and pedagogical approach but suggests more reconciliation meetings for course development. Labs early in the course was considered good, and division of labs at the system and the component level. However further long- term studies of evaluation of impact is necessary.

Place, publisher, year, edition, pages
Springer, 2018
Series
Lecture Notes in Networks and Systems, ISSN 2367-3370, E-ISSN 2367-3389
Keywords
Engineering education, Flipped classroom, Smart home and health, Diabetes, Scientific literacy, Engineering competence, Academia - industry, Expert competence, Metrology, Internet-of-Things
National Category
Other Engineering and Technologies not elsewhere specified
Research subject
Computer and Information Sciences Computer Science
Identifiers
urn:nbn:se:lnu:diva-61007 (URN)10.1007/978-3-319-64352-6_41 (DOI)000456875500041 ()978-3-319-64352-6 (ISBN)978-3-319-64351-9 (ISBN)
Conference
14th International Conference on Remote Engineering and Virtual Instrumentation (REV2017), New York, USA, March 15-17, 2017
Funder
Knowledge Foundation
Available from: 2017-02-27 Created: 2017-02-27 Last updated: 2019-02-15Bibliographically approved
Kodakadath Premachandran, R., Linderholt, A., Håkansson, L. & Gothberg, M. (2018). Numerical 1D and 3D models representing a DTH drilling system: A comparison of accuracy and computational speed. In: The International Institute of Acoustics and Vibration , 2018. (Ed.), Proceedings of the 25th International Congress on Sound and Vibration, The International Institute of Acoustics and Vibration , 2018: . Paper presented at The International Institute of Acoustics and Vibration , 2018. International Institute of Acoustics and Vibration (IIAV)
Open this publication in new window or tab >>Numerical 1D and 3D models representing a DTH drilling system: A comparison of accuracy and computational speed
2018 (English)In: Proceedings of the 25th International Congress on Sound and Vibration, The International Institute of Acoustics and Vibration , 2018 / [ed] The International Institute of Acoustics and Vibration , 2018., International Institute of Acoustics and Vibration (IIAV) , 2018Conference paper, Published paper (Refereed)
Abstract [en]

The drilling industry is steadily moving towards automation. To have a better control over the drilling operation and to optimize the drilling performance, it is necessary to have a good understanding of the physics involved in the process. A good simulation model of the drilling process/system would be of great value in assisting this and in enabling the development of strategies to optimize it. A representative simulation model can provide insights into various phenomena that appear during drilling for different drilling conditions. Such a model is also likely to be of assistance in preparing various measurements. Issues such as choosing the type of sensors, their positions and which quantities to measure are supported by a model. A well calibrated model in combination with information extracted from measured data are hence likely to assist in selecting control strategies for optimized drilling performance. In this paper we present a MATLAB based 1D simulation model of a Down The Hole (DTH) drill and compare it with an existing 1D model in terms of computational speed and accuracy. The emphasis is to make a 3D model of a DTH system that is computationally efficient and accurate.

Place, publisher, year, edition, pages
International Institute of Acoustics and Vibration (IIAV), 2018
National Category
Applied Mechanics
Research subject
Technology (byts ev till Engineering), Mechanical Engineering
Identifiers
urn:nbn:se:lnu:diva-73954 (URN)
Conference
The International Institute of Acoustics and Vibration , 2018
Note

Ej belagd 181017

Available from: 2018-05-05 Created: 2018-05-05 Last updated: 2018-10-17Bibliographically approved
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
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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 clutchfailure 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 anomalydetection module combined with Case-Based Reasoning (CBR) for on-board clutch slippagedetection 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.

National Category
Mechanical Engineering
Research subject
Technology (byts ev till Engineering), Mechanical Engineering
Identifiers
urn:nbn:se:lnu:diva-73278 (URN)
Available from: 2018-04-23 Created: 2018-04-23 Last updated: 2018-10-17Bibliographically approved
Kodakadath Premachandran, R., Linderholt, A., Håkansson, L. & Gothberg, M. (2017). An initial investigation of the correlation between a number of drilling related quantities measured during down the hole drilling. In: Proceedings of the 24th International Congress on Sound and Vibration: . Paper presented at The 24th International Congress on Sound and Vibration (ICSV), London. 23-27 July, 2017. Curran Associates, Inc.
Open this publication in new window or tab >>An initial investigation of the correlation between a number of drilling related quantities measured during down the hole drilling
2017 (English)In: Proceedings of the 24th International Congress on Sound and Vibration, Curran Associates, Inc., 2017Conference paper, Published paper (Other academic)
Abstract [en]

Optimizing the performance for down the hole (DTH) drills is becoming increasingly important. This is due to that the industry is becoming highly competitive and therefore there is an ever-increasing demand for improving the efficiency of the drilling process. To do this, it is important to have a robust monitoring system in place that should be based on in-depth knowledge of the underlying physics of the drilling system and process. Such a system will assist drillers in improving the perfor-mance e.g. by providing recommendations concerning the settings of the drilling. To understand the performance of the system, it is very important to understand the information that can be extracted from different drilling related quantities. In this work, information obtained from the pressure signals from the feed/holdback line, impact pressure line and rotation line together with vibration signals measured with the aid of accelerometers mounted at specific locations on the drill rig are discussed. For instance, spectral properties of these quantities for good and bad drilling cases are investigated. The results indicate correlations, to some extent, between the spectral properties and the quality of the drilling.

Place, publisher, year, edition, pages
Curran Associates, Inc., 2017
Keywords
DTH, Performance monitoring
National Category
Applied Mechanics
Research subject
Technology (byts ev till Engineering), Mechanical Engineering
Identifiers
urn:nbn:se:lnu:diva-67182 (URN)
Conference
The 24th International Congress on Sound and Vibration (ICSV), London. 23-27 July, 2017
Available from: 2017-08-07 Created: 2017-08-07 Last updated: 2018-05-17Bibliographically approved
Källström, E., Lindström, J., Håkansson, L., Karlberg, M. & Öberg, O. (2017). Identification of Vibration Properties of Wheel Loader Driveline Parts as a base for Adequate Condition Monitoring: Bearings. In: Malcolm Crocker (Ed.), 24th International Congress on Sound and Vibration 2017 (ICSV 24): . Paper presented at 24th International Congress on Sound and Vibration 2017 (ICSV 24), London, United Kingdom, 23 - 27 July 2017 (pp. 312-319). Curran Associates, Inc., 1
Open this publication in new window or tab >>Identification of Vibration Properties of Wheel Loader Driveline Parts as a base for Adequate Condition Monitoring: Bearings
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2017 (English)In: 24th International Congress on Sound and Vibration 2017 (ICSV 24) / [ed] Malcolm Crocker, Curran Associates, Inc., 2017, Vol. 1, p. 312-319Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
Curran Associates, Inc., 2017
National Category
Other Mechanical Engineering
Research subject
Technology (byts ev till Engineering), Mechanical Engineering
Identifiers
urn:nbn:se:lnu:diva-73311 (URN)9781510845855 (ISBN)
Conference
24th International Congress on Sound and Vibration 2017 (ICSV 24), London, United Kingdom, 23 - 27 July 2017
Available from: 2018-04-23 Created: 2018-04-23 Last updated: 2018-05-07Bibliographically 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
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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.

Place, publisher, year, edition, pages
Springer, 2017
Keywords
Data stream management, Distributed stream systems, Data stream validation, Parallelization, Anomaly detection
National Category
Mechanical Engineering
Research subject
Technology (byts ev till Engineering), Mechanical Engineering; Computer and Information Sciences Computer Science, Computer Science
Identifiers
urn:nbn:se:lnu:diva-61753 (URN)10.1007/s10844-016-0427-2 (DOI)
Available from: 2017-03-27 Created: 2017-03-27 Last updated: 2017-09-22Bibliographically approved
Kodakadath Premachandran, R. & Håkansson, L. (2016). Comparison of Spectral Properties of the Vibration Signal and Line Pressure Signal of DTH Drill. In: 23rd International Congress on Sound and Vibration 2016 (ICSV 23): From Ancient to Modern Acoustics, Publisher: Curran Associates, Inc.: . Paper presented at ICSV23 - The Twenty Third International Congress on Sound and Vibration, Athens, Greece, 10-14 July, 2016.. Curran Associates, Inc.
Open this publication in new window or tab >>Comparison of Spectral Properties of the Vibration Signal and Line Pressure Signal of DTH Drill
2016 (English)In: 23rd International Congress on Sound and Vibration 2016 (ICSV 23): From Ancient to Modern Acoustics, Publisher: Curran Associates, Inc., Curran Associates, Inc., 2016Conference paper, Published paper (Other academic)
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
Curran Associates, Inc., 2016
National Category
Signal Processing Fluid Mechanics and Acoustics
Research subject
Technology (byts ev till Engineering), Mechanical Engineering
Identifiers
urn:nbn:se:lnu:diva-61872 (URN)9781510827165 (ISBN)
Conference
ICSV23 - The Twenty Third International Congress on Sound and Vibration, Athens, Greece, 10-14 July, 2016.
Note

Ej belagd 170403

Available from: 2017-03-27 Created: 2017-03-27 Last updated: 2017-04-03Bibliographically approved
Källström, E., Lindström, J., Håkansson, L., Karlberg, M., Renderstedt, R. & Larsson, J. (2016). Identification of Vibration Properties of Heavy Duty Machine Driveline Parts as a Base for Adequate Condition Monitoring: Axle. In: 23rd International Congress on Sound and Vibration 2016 (ICSV 23): From Ancient to Modern Acoustics: . Paper presented at ICSV23 - The Twenty Third International Congress on Sound and Vibration, Athens, Greece, 10-14 July, 2016.. Curran Associates, Inc.
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
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2016 (English)In: 23rd International Congress on Sound and Vibration 2016 (ICSV 23): From Ancient to Modern Acoustics, Curran Associates, Inc., 2016Conference paper, Published paper (Refereed)
Abstract [en]

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

Place, publisher, year, edition, pages
Curran Associates, Inc., 2016
National Category
Signal Processing Other Mechanical Engineering
Research subject
Technology (byts ev till Engineering), Mechanical Engineering
Identifiers
urn:nbn:se:lnu:diva-61866 (URN)9781510827165 (ISBN)
Conference
ICSV23 - The Twenty Third International Congress on Sound and Vibration, Athens, Greece, 10-14 July, 2016.
Note

Ej belagd 170403

Available from: 2017-03-27 Created: 2017-03-27 Last updated: 2017-04-03Bibliographically approved
Källström, E., Lindström, J., Håkansson, L., 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: 23rd International Congress on Sound and Vibration 2016 (ICSV 23): From Ancient to Modern Acoustics, Publisher: Curran Associates, Inc.: . Paper presented at ICSV23 - The Twenty Third International Congress on Sound and Vibration, Athens, Greece, 10-14 July, 2016.. Curran Associates, Inc.
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
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2016 (English)In: 23rd International Congress on Sound and Vibration 2016 (ICSV 23): From Ancient to Modern Acoustics, Publisher: Curran Associates, Inc., Curran Associates, Inc., 2016Conference paper, Published paper (Refereed)
Abstract [en]

Improving uptime is paramount in the heavy duty construction equipment business. Failure ofcritical components in the heavy duty machine may lead to unnecessary stops and expensivedowntime. The torque converter, a complex component of the driveline, transmits and multipliestorque from the engine to the gearbox, and its failure may not only lead to the machine standingstill 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 measuredon a construction equipment machine during controlled driving sessions. Vibration has beenmeasured on the torque converter. An initial investigation of the vibration measured on the torqueconverter has been carried out to identify its vibration properties in order to enable its healthmonitoring to prevent failure. Initial signal analysis of the data have been carried out using OrderPower Spectrum and Order Modulation Spectrum methods. The results indicate that the torqueconverter vibration properties contain information relevant for early fault detection.

Place, publisher, year, edition, pages
Curran Associates, Inc., 2016
National Category
Signal Processing Other Mechanical Engineering
Research subject
Technology (byts ev till Engineering), Mechanical Engineering
Identifiers
urn:nbn:se:lnu:diva-61869 (URN)9781510827165 (ISBN)
Conference
ICSV23 - The Twenty Third International Congress on Sound and Vibration, Athens, Greece, 10-14 July, 2016.
Note

Ej belagd 170403

Available from: 2017-03-27 Created: 2017-03-27 Last updated: 2017-04-03Bibliographically approved
Källström, E., Lindström, J., Håkansson, L., Karlberg, M., Bellgran, D., Frenne, N., . . . Larsson, J. (2015). Analysis of Automatic Transmission Vibration for Clutch Slippage Detection. In: 22nd International Congress on Sound and Vibration 2015 (ICSV 22),: . Paper presented at ICSV22 - The Twenty Second International Congress on Sound and Vi-bration, Florence, Italy, 12-16 July, 2015.. Curran Associates, Inc.
Open this publication in new window or tab >>Analysis of Automatic Transmission Vibration for Clutch Slippage Detection
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2015 (English)In: 22nd International Congress on Sound and Vibration 2015 (ICSV 22),, Curran Associates, Inc., 2015Conference paper, Published paper (Refereed)
Abstract [en]

Heavy duty construction equipment is generally equipped with automatic transmission enablingto change gear ratio automatically. The clutches in an automatic transmission transfer torquefrom the engine to the gearbox and clutch failures may result in costly downtime of constructionequipment. To prevent costly downtime of construction equipment, condition monitoring in com-bination with condition based maintenance may be utilized. Different sensor data are collectedon a machine that enables condition monitoring. Vibration have been measured on an automatictransmission in a construction equipment machine during controlled driving sessions, with andwithout clutch slippage, on a test track. An initial investigation of the vibration measured on theautomatic transmission have been carried out with the purpose to find out if the vibration maycontain reliable information related to clutch slippage considered to be abnormal. Initial signalanalysis of the data have been carried out using Spectrogram and Spectral Kurtosis methods. Theresults indicate that information related to abnormal clutch slippage may be extracted from vibra-tion measured on an automatic transmission in a construction equipment machine.

Place, publisher, year, edition, pages
Curran Associates, Inc., 2015
National Category
Signal Processing Fluid Mechanics and Acoustics
Research subject
Technology (byts ev till Engineering), Mechanical Engineering
Identifiers
urn:nbn:se:lnu:diva-61857 (URN)9781510809031 (ISBN)
Conference
ICSV22 - The Twenty Second International Congress on Sound and Vi-bration, Florence, Italy, 12-16 July, 2015.
Available from: 2017-03-27 Created: 2017-03-27 Last updated: 2017-04-03Bibliographically approved
Projects
STEM education on equal terms [2018-03381_Vinnova]; Linnaeus University
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0001-7732-1898

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