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 language | English |
|---|---|
| Place of Publication | Espoo |
| Publisher | VTT Technical Research Centre of Finland |
| Number of pages | 126 |
| ISBN (Electronic) | 951-38-6799-4 |
| ISBN (Print) | 951-38-6798-6 |
| Publication status | Published - 2006 |
| MoE publication type | Not Eligible |
Publication series
| Series | VTT Tiedotteita - Meddelanden - Research Notes |
|---|---|
| Number | 2343 |
| ISSN | 1235-0605 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 7 Affordable and Clean Energy
-
SDG 9 Industry, Innovation, and Infrastructure
-
SDG 12 Responsible Consumption and Production
Keywords
- mobile work machines
- diagnostics
- automotive industry
- cars
- heavy-duty vehicles
- diagnostics architecture
- MIMOSA
- data analysis
- data mining
- sensor fault modes
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