Fault Detection using Multi-Order Conditional Probability Density Distribution

Shusuke Kumagai; Jun-ya Takayama; Shinji Ohyama; Akira Kobayashi

doi:10.11499/sicep.2002.0.467.0

SICE Annual Conference 2002

DOI https://doi.org/10.11499/sicep.2002.0.467.0

Conference information

Host: The Society of Instrument and Control Engineers

Co-host: IEEE/Industiral Electronic Society, IEEE/Robotics and Automation Society, IEEE/Control System Society

Fault Detection using Multi-Order Conditional Probability Density Distribution

Shusuke Kumagai, Jun-ya Takayama, Shinji Ohyama, Akira Kobayashi

Author information

Keywords: fault detection, conditional probability density distribution

CONFERENCE PROCEEDINGS FREE ACCESS

Pages 467

Details

Abstract

The vibration of the machines in abnormal condition contains some fault symptom. In this research, in order to detect the fault as soon as possible, the new signal processing method is proposed which focuses on the conditional probability of the fault signal value in time domain. Furthermore, proposed method is applied to experiment, and validity is confirmed.

Corresponding author

Register with J-STAGE for free!