Artificial Intelligence Methods for Fault Diagnosis in Centrifugal Pumps

This important book offers a foundation for use of artificial intelligence (AI) in fault diagnosis and classification for centrifugal pumps. It outlines methods for operators to identify and classify faults that are not easily detectable using traditional techniques like time domain and frequency domain methods. It brings together different AI approaches that are integrated with Wavelet Transform (WT) and Genetic Algorithm (GA) into a single reference—making advanced diagnostic methods accessible to engineers who may not have a computer science background. Covering a wide range of AI applications for mechanical systems, the book: Advances readers from description of the problem to application of AI methods for diagnostics Outlines ways for operators to identify and classify faults that are not easily detectable using traditional techniques Offers new data from a novel experimental rig not previously available Artificial Intelligence Methods for Fault Diagnosis in Centrifugal Pumps is an ideal reference for academics, engineers, and industry professionals working in plant and operations maintenance. Undergraduate and graduate students of artificial intelligence systems will find this an invaluable reference.