| 1. |
- Byttner, Stefan, et al.
(författare)
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Self-organized Modeling for Vehicle Fleet Based Fault Detection
- 2008
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Ingår i: Proceedings of the SAE World Congress & Exhibition. - Warrendale, PA : SAE Inc..
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Konferensbidrag (refereegranskat)abstract
- Operators of fleets of vehicles desire the best possible availability and usage of their vehicles. This means the preference is that maintenance of a vehicle is scheduled with as long intervals as possible. However, it is then important to be able to detect if a component in a specific vehicle is not functioning properly earlier than expected (due to e.g. manufacturing variations). This paper proposes a telematic based fault detection scheme for enabling fault detection for diagnostics by using a population of vehicles. The basic idea is that it is possible to create low-dimensional representations of a sub-system or component in a vehicle, where the representation (or model parameters) of a vehicle can be monitored for changes compared to the model parameters observed in a fleet of vehicles. If a model in a vehicle is found to deviate compared to a group of models from a fleet of vehicles, then the vehicle is judged to need diagnostics for that component (assuming the deviation in the model cannot be attributed to e.g. a different driver behavior). The representation should be low-dimensional so it is possible to have it transferred over a limited wireless communication channel to a communications center where the comparison is made. The algorithm is shown to be able to detect leakage on simulated data from a cooling system, work is currently in progress for detecting other types of faults.
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| 2. |
- Hansson, Jörgen, et al.
(författare)
-
Remote Diagnosis Modelling
- 2008
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Patent (populärvet., debatt m.m.)abstract
- A diagnosis and maintenance method, a diagnosis and maintenance assembly comprising a central server and a system, and a computer program for diagnosis and maintenance for a plurality of systems, particularly for a plurality of vehicles, wherein each system provides at least one system-related signal which provides the basis for the diagnosis and/or maintenance of/for the system are provided. The basis for diagnosis and/or maintenance is determined by determining for each system at least one relation between the system-related signals, comparing the compatible determined relations, determining for the plurality of systems based on the result of the comparison which relations are significant relations and providing a diagnosis and/or maintenance decision based on the determined significant relations.
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| 3. |
- Rögnvaldsson, Thorsteinn, et al.
(författare)
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A self-organized approach for unsupervised fault detection in multiple systems
- 2008
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Ingår i: 19th International Conference on Pattern Recognition. - Piscataway, N.J. : IEEE Press. - 9781424421756 ; , s. 1-4
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Konferensbidrag (refereegranskat)abstract
- An approach is proposed for automatic fault detection in a population of mechatronic systems. The idea is to employ self-organizing algorithms that produce low-dimensional representations of sensor and actuator values on the vehicles, and compare these low-dimensional representations among the systems. If a representation in one vehicle is found to deviate from, or to be not so similar to, the representations for the majority of the vehicles, then the vehicle is labeled for diagnostics. The presented approach makes use of principal component coding and a measure of distance between linear sub-spaces. The method is successfully demonstrated using simulated data for a commercial vehiclepsilas engine coolant system, and using real data for computer hard drives.
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| 4. |
- Svensson, Magnus, et al.
(författare)
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Self-organizing maps for automatic fault detection in a vehicle cooling system
- 2008
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Ingår i: 4th International IEEE Conference Intelligent Systems, 2008. IS '08. - Piscataway, N.J. : IEEE Press. - 9781424417391 ; , s. 24-8-24-12
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Konferensbidrag (refereegranskat)abstract
- A telematic based system for enabling automatic fault detection of a population of vehicles is proposed. To avoid sending huge amounts of data over the telematics gateway, the idea is to use low-dimensional representations of sensor values in sub-systems in a vehicle. These low-dimensional representations are then compared between similar systems in a fleet. If a representation in a vehicle is found to deviate from the group of systems in the fleet, then the vehicle is labeled for diagnostics for that subsystem. The idea is demonstrated on the engine coolant system and it is shown how this self-organizing approach can detect varying levels of clogged radiator.
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