Abstract
As explained previously that the condition monitoring system being developed consists of two stages, namely fault detection and fault diagnosis. These two stages will be designed based on statistical (control charts) and artificial intelligence (neural network) techniques. This chapter discusses the main principles of the used techniques, describes the design steps for the proposed intelligent CM system, and presents the results of its performance testing. The extracted standard deviation features, in Chap. 6, that are related to the robot healthy and different fault conditions will be used here for design and testing of these two stages.
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Jaber, A.A. (2017). Intelligent Condition Monitoring System Design. In: Design of an Intelligent Embedded System for Condition Monitoring of an Industrial Robot. Springer Theses. Springer, Cham. https://doi.org/10.1007/978-3-319-44932-6_7
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DOI: https://doi.org/10.1007/978-3-319-44932-6_7
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