Diagnostics of mobile work machines

Jarmo Alanen, Kari Haataja, Otto Laurila, Jukka Peltola, Isto Aho

Research output: Book/ReportReportProfessional

2 Citations (Scopus)

Abstract

In this research note, we take a look at the field of mobile work machine diagnostics. The perspective by the authors is limited by the research project (KODIE) behind this research. However, we have tried to provide generic guidelines for machine builders to set up their diagnostics strategy. Building blocks, like SAE J1939/73, ISO 15765 and ODX, from automotive industry are exhibited to prevent machine manufactures from reinventing diagnostics protocols and practices. Furthermore, examples of diagnostics architectures are presented, with OSA-CBM among others. To make the most of diagnostics data, an extensive set of data analysis methods are introduced. And in order to help engineers to design diagnostics feature for the sensor system, hints and examples are supplied as to how to establish the fault modes of sensors; a good knowledge about the (relevant) sensor and actuator fault modes is a prerequisite for comprehensive fault detection.
Original languageEnglish
Place of PublicationEspoo
PublisherVTT Technical Research Centre of Finland
Number of pages126
ISBN (Electronic)951-38-6799-4
ISBN (Print)951-38-6798-6
Publication statusPublished - 2006
MoE publication typeNot Eligible

Publication series

NameVTT Tiedotteita - Research Notes
PublisherVTT
No.2343
ISSN (Print)1235-0605
ISSN (Electronic)1455-0865

Fingerprint

Sensors
Automotive industry
Fault detection
Actuators
Engineers

Keywords

  • mobile work machines
  • diagnostics
  • automotive industry
  • cars
  • heavy-duty vehicles
  • diagnostics architecture
  • MIMOSA
  • data analysis
  • data mining
  • sensor fault modes

Cite this

Alanen, J., Haataja, K., Laurila, O., Peltola, J., & Aho, I. (2006). Diagnostics of mobile work machines. Espoo: VTT Technical Research Centre of Finland. VTT Tiedotteita - Meddelanden - Research Notes, No. 2343
Alanen, Jarmo ; Haataja, Kari ; Laurila, Otto ; Peltola, Jukka ; Aho, Isto. / Diagnostics of mobile work machines. Espoo : VTT Technical Research Centre of Finland, 2006. 126 p. (VTT Tiedotteita - Meddelanden - Research Notes; No. 2343).
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Alanen, J, Haataja, K, Laurila, O, Peltola, J & Aho, I 2006, Diagnostics of mobile work machines. VTT Tiedotteita - Meddelanden - Research Notes, no. 2343, VTT Technical Research Centre of Finland, Espoo.

Diagnostics of mobile work machines. / Alanen, Jarmo; Haataja, Kari; Laurila, Otto; Peltola, Jukka; Aho, Isto.

Espoo : VTT Technical Research Centre of Finland, 2006. 126 p. (VTT Tiedotteita - Meddelanden - Research Notes; No. 2343).

Research output: Book/ReportReportProfessional

TY - BOOK

T1 - Diagnostics of mobile work machines

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AU - Aho, Isto

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AB - In this research note, we take a look at the field of mobile work machine diagnostics. The perspective by the authors is limited by the research project (KODIE) behind this research. However, we have tried to provide generic guidelines for machine builders to set up their diagnostics strategy. Building blocks, like SAE J1939/73, ISO 15765 and ODX, from automotive industry are exhibited to prevent machine manufactures from reinventing diagnostics protocols and practices. Furthermore, examples of diagnostics architectures are presented, with OSA-CBM among others. To make the most of diagnostics data, an extensive set of data analysis methods are introduced. And in order to help engineers to design diagnostics feature for the sensor system, hints and examples are supplied as to how to establish the fault modes of sensors; a good knowledge about the (relevant) sensor and actuator fault modes is a prerequisite for comprehensive fault detection.

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KW - data analysis

KW - data mining

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M3 - Report

SN - 951-38-6798-6

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PB - VTT Technical Research Centre of Finland

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ER -

Alanen J, Haataja K, Laurila O, Peltola J, Aho I. Diagnostics of mobile work machines. Espoo: VTT Technical Research Centre of Finland, 2006. 126 p. (VTT Tiedotteita - Meddelanden - Research Notes; No. 2343).