... but precise fault diagnosis for industrial machines. The utilization of mathematical modeling with machine learning may be combined for fine fault diagnosis under different working conditions. The current study presents a blend of dimensional analysis (DA) and a K-nearest neighbor (KNN) to diagnose faults...

...Xie Fei; Wei Haijun Utilizing computer technology to realize the application of ferrographic intelligent fault diagnosis technology is a foundational investigation to oversee the operations of mechanical equipment. To continuously improve the accuracy of artificial intelligence recognition...

... . 10.1115/1.4045636 [9] Li , B. , and Zhang , Y. , 2011 , “ Supervised Locally Linear Embedding Projection for Machinery Fault Diagnosis ,” Mech. Syst. Signal Process. , 25 ( 8 ), pp. 3125 – 3134 . 10.1016/j.ymssp.2011.05.001 [10] McFadden , P. D. , and Smith , J. D...

.... Such a multiresolution capability is essential for vibration based machine fault diagnosis ( 25 37 40 41 42 43 44 45 ). The presence of periodical or nonperiodical impulses in vibration signals often indicates the occurrence of machine faults. The extraction of impulsive features in vibration signals is vital...