ABSTRACT
This chapter discusses the implementation of reference frame theory and phase sensitive detection as an example in an embedded digital signal processor (DSP) system. It examines the conventional applications, it is reported that the reference frame theory can also be successfully applied to fault diagnosis of electric machinery systems as a powerful toolbox to find the magnitude and phase quantities of fault signatures. The chapter presents the experimental and the analytical validation of the reference frame theory application to electric motor fault diagnosis. Implementing a comprehensive fault diagnosis algorithm taking all the details into account like the decision-making stage is a long and complicated procedure. Implementation of an algorithm on DSP is commonly limited by the memory and computing capacity of the system. Most of the specific fault signal detection schemes in literature utilize the optimal property of the matched filtering such as reference frame theory, phase sensitive detection, and any other relevant cross-correlation methods.
