... are analyzed using local mean decomposition and Shannon entropy. Aydemir [ 11 ] studied deep-stacked auto-encoders that can compress vibration and current data from electric machinery for defect identification and diagnostics. Classifiers such as rule-based, SVM, artificial neural network (ANN), KNN...

... fault research, it contributes to the development of sophisticated diagnostic techniques and predictive maintenance algorithms. The present study investigated industrial machines for fault diagnosis of bearings. The DA model is established to study the vibration response characteristics...

... design of experiments surface response methodology root mean square bearings diagnostics rolling rolling-element bearings Rolling bearing assembly is among the notable significant elements of equipment and is essential to the operation of rotating machinery to be adept to support the moving...

... acoustic emissions Matlab machine learning black box bio-tribology diagnostics tribological systems NCMIC Foundation 10.13039/100007517 Research Award Currently, low back pain (LBP), particularly nonspecific low back pain (nsLBP), represents a challenging problem...

.... 1074 – 1083 . 10.1080/10402004.2018.1469805 [8] Alves , D. S. , Daniel , G. B. , de Castro , H. F. , Machado , T. H. , Cavalca , K. L. , Gecgel , O. , Dias , J. P. , and Ekwaro-Osire , S. , 2020 , “ Uncertainty in Deep Convolutional Neural Network Diagnostics...

... diagnostics friction gears lubricants wear With the increase of industrial complexity, large mechanical equipment is becoming more and more complicated, and it is usually operated in a harsh environment. Once a mechanical failure occurs, it does not only affect production and causes a certain...

... conditions were used to train and test the diagnostics framework. The results show that the proposed framework can be a promising tool to diagnose wear faults in journal bearings. Data analysis of vibration signals is the most popular diagnosis method in the industry due to the extent of the information...

... machine vibration monitoring symptom. Also for the first time, this work analytically shows a mechanism where severe contact precipitates seal failure, which was previously known only through intuition and/or experience. The utility of seal face contact diagnostics is discussed along with directions...

... and stator, which is both costly and dangerous. These adverse effects can be alleviated by properly applying accurate real-time diagnostics. The first step toward accurate diagnostics is developing rotor–stator rub models which appropriately emulate reality. Previous rotor–stator rub models disavow...

... May 30, 2015; final manuscript received October 14, 2015; published online February 9, 2016. Assoc. Editor: Xiaolan Ai. 30 05 2015 14 10 2015 Bearings Diagnostics As an obligatory part of many rotating machineries, antifriction bearings have gained more attention because...

... OURNAL OF T RIBOLOGY . Manuscript received November 11, 2014; final manuscript received June 20, 2015; published online October 1, 2015. Assoc. Editor: Zhong Min Jin. 11 11 2014 20 06 2015 Contact mechanics Diagnostics Rolling element bearings Rolling element bearings...

... by the Tribology Division of ASME for publication in the J OURNAL OF T RIBOLOGY . Manuscript received December 23, 2014; final manuscript received June 22, 2015; published online September 22, 2015. Assoc. Editor: Satish V. Kailas. 23 12 2014 22 06 2015 Bearings Coatings Diagnostics Gas...

... , “ Rolling Element Bearing Diagnostics in Run-to-Failure Lifetime Testing ,” Mech. Syst. Signal Process. , 15 ( 5 ), pp. 979 – 993 . 10.1006/mssp.2001.1418 [12] Chinmay , K. , and Mohanty , A. R. , 2004 , “ Application of KS Test in Ball Bearing Fault Diagnosis ,” J. Sound Vib. , 269 ( 1...