Fault detection and diagnosis of DC motor drives

Abstract

The theoretically developed methods for fault detection and diagnosis require an experimental testing with different kinds of technical processes. Most of the described methods assume ideal situations, as, for example, linear behavior or specific structures of nonlinear processes, precise measurements, small disturbances, stationary stochastic disturbances, constant parameters or open loop operation and modelling of faults. However, in practice frequently some of the simplifying assumptions are violated. Therefore it is of interest how robust the treated methods are with regard to these violations. As already discussed in Chapter 13, the suitability of the different methods depends on the behavior of the processes and real faults. Therefore some applications for two DC motors, a circulation pump and an automotive wheel suspension are shown in the following chapters, highlighting the advantages and disadvantages of the applied detection methods. Many more case studies and applications on, e.g. electrical, pneumatic and hydraulic actuators, AC motors, pumps, machine tools, robots, heat exchangers, pipelines, combustion engines and passenger cars will be treated in another book, [20.5].