Study on the detection of misfiring cylinder in a shipping multi-cylinder diesel engine using aggregative learning method

Youhei Kawamura; Masuyuki Ujihira; Makoto Nagayama; Nobuharu Aoshima; Fumito Ito; Daouren F Akhmetov

doi:10.11499/sicep.2004.0_7_3

SICE Annual Conference 2004

DOI https://doi.org/10.11499/sicep.2004.0_7_3

Conference information

Host: The Society of Instrument and Control Engineers

Co-host: The IEEE Industrial Electronics Society, The IEEE Robotics and Automation Society, The IEEE Control Systems Society, The IEEE Systems, Man and Cybernetics Society, The Instrumentation, Systems, and Automation Society

Study on the detection of misfiring cylinder in a shipping multi-cylinder diesel engine using aggregative learning method

Youhei Kawamura, Masuyuki Ujihira, *Makoto Nagayama, Nobuharu Aoshima, Fumito Ito, Daouren F Akhmetov

Author information

Keywords: Diesel Engine, Diagnosis, acceleration

CONFERENCE PROCEEDINGS FREE ACCESS

Pages 7

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Abstract

In this study, a minimum number of sensors will be applied on the side of two cylinders on the diesel engine in order to build an abnormal diagnosis system which detects anomaly behavior at an early stage by analyzing the acceleration waveform using the ALM method. This measurement system can be applied to the ship.

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