Initial Practice of Telematics-Based Prognostics for Commercial Vehicles | Zendy

Noriyuki Kushiro | Zendy; Yusuke Oniduka | Zendy; Yoichi Sakurai | Zendy

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Initial Practice of Telematics-Based Prognostics for Commercial Vehicles

Author(s) -

Noriyuki Kushiro,

Yusuke Oniduka,

Yoichi Sakurai

Publication year - 2017

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2017.08.244

Subject(s) - prognostics , telematics , computer science , reliability (semiconductor) , reliability engineering , fault (geology) , preventive maintenance , service (business) , quality (philosophy) , service quality , engineering , telecommunications , data mining , business , power (physics) , philosophy , physics , epistemology , quantum mechanics , marketing , seismology , geology

Unscheduled maintenance of commercial vehicle brings users increasing maintenance cost, decreasing reliability of their fleet and quality of customer service. The prognostics systems are required for avoiding unexpected breakdowns in the vehicles. As an initial practice for realizing the prognostics system, a fault progress model to unexpected breakdowns was built on correlations among cautions/warnings from sensors within telematics data in this study. An analysis tool was developed for constructing the model, and the model extracted from the tool was evaluated its validity through reviews by engineers in a vehicle manufacturer with different specialties.

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