Abstract
Fault detection and fault diagnosis of technical processe becomes more important in the course of progressive automation. Computer based fault supervision methods are developed which allow the early detection and localization of process faults during normal operation. The use of process models enables to estimate process state variables and parameters which directly are influenced by faults. The contribution concentrates or fault diagnosis based on process parameters.The general procedure is outlined, comprising parameter estimation, feature extraction, fault decision and classification. Recent experimental results are given for the detection of several faults in a d.c.moter and a centrifugal pump.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
