Paper
22 September 1993 Advanced fault diagnosis for the mass production of small-power electric motors
Dieter Filbert
Author Affiliations +
Proceedings Volume 2101, Measurement Technology and Intelligent Instruments; (1993) https://doi.org/10.1117/12.156288
Event: Measurement Technology and Intelligent Instruments, 1993, Wuhan, China
Abstract
High quality is a principal goal in the mass production of electric niotors (i.e. d.c. motors for cars and universal motors for house hold appliances).The processing of vibration and acoustical signals are widely used in quality assurance in the mass production but the coupling of the sensors to the motor as well as noise produced in the environment make it still difficult to get reproducible diagnostic results. High quality in production can be achieved by the powerful modern diagnostic methods which became possible because of the progress in microelectronics (microprocessors and signal processors). This progress made mathematical methods and signal processing applicable. Therefore this paper deals with diagnostic methods that use the measured signals of voltage, current and speed only but achieve a good testing. It gives an overview of new methods for the feature extraction and fault detection on small power electric motors.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Dieter Filbert "Advanced fault diagnosis for the mass production of small-power electric motors", Proc. SPIE 2101, Measurement Technology and Intelligent Instruments, (22 September 1993); https://doi.org/10.1117/12.156288
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Cited by 6 scholarly publications.
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KEYWORDS
Signal processing

Statistical modeling

Instrument modeling

Diagnostics

Process modeling

Modeling

Mathematical modeling

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