Mechanical fault detection and classification using pattern recognition based on bispectrum algorithm

• Published in: Advanced Technologies for Sustainable Systems Vol. 4; pp. 147 - 165
• Main Authors: Habib, Michael R., Hassan, Mohammed A., Abul Seoud, Rania A., Bayoumi, Abdel M.
• Format: Book Chapter
• Language: English
• Published: Switzerland Springer International Publishing AG 2016; Springer International Publishing
• Series: Lecture Notes in Networks and Systems
• Subjects: Alternative & renewable energy sources & technology; Bispectrum; Condition Based Maintenance; Information retrieval; Logistic Regression; Machine Learning; Principle Component Analysis; Rotating Machinery Fault Detection; Tool making; Vibration Analysis

Higher order spectral analysis of vibration signals is an efficient tool in condition monitoring and fault detection and diagnosis of rotating machinery. In this paper, features extracted from vibration bispectrum are used in fault classification of critical rotating components in the AH-64D helicop...