Search Results - "Stack, T. G."

Identification of initial fault time for bearing based on monitoring indicator, WEMD and Infogram.

Authors: Jiadong Meng Changfeng Yan Tao Wen et al.

Source: Journal of Vibroengineering; Nov2022, Vol. 24 Issue 7, p1291-1312, 22p

A new signal processing-based approach for detection and localization of defective rolling-element bearing.

Authors: Ratni, Azeddine Benazzouz, Djamel

Source: Journal of Vibroengineering; May2022, Vol. 24 Issue 3, p468-480, 13p

Fault diagnosis and health management of bearings in rotating equipment based on vibration analysis - a review.

Authors: Althubaiti, Adnan Elasha, Faris Teixeira, Joao Amaral

Source: Journal of Vibroengineering; Feb2022, Vol. 24 Issue 1, p46-74, 29p

Application of Artificial Neural Network for Damage Detection in Planetary Gearbox of Wind Turbine.

Authors: Strączkiewicz, Marcin Barszcz, Tomasz

Source: Shock & Vibration. 12/27/2015, p1-12. 12p.

Automatic Condition Monitoring of Industrial Rolling-Element Bearings Using Motor’s Vibration and Current Analysis.

Authors: Yang, Zhenyu¹ yang@et.aau.dk

Source: Shock & Vibration. 9/28/2015, Vol. 2015, p1-12. 12p.

Detection of Bearing Damage Using Stator Current, and Voltage to Cancel Electrical Noise.

Authors: Ibrahim, Ali Bonnardot, Frederic El Badaoui, Mohamed et al.

Source: EURASIP Journal on Advances in Signal Processing; 2/22/2011, p1-14, 14p

A Statistical Approach for Fault Diagnosis in Electrical Machines.

Authors: Khwaja, Hina A. Gupta, S. P. Kumar, Vinod

Source: IETE Journal of Research; May/Jun2010, Vol. 56 Issue 3, p146-155, 10p, 5 Charts, 13 Graphs

Machine Fault Signature Analysis.

Authors: Jayaswal, Pratesh Wadhwani, A. K. Mulchandani, K. B.

Source: International Journal of Rotating Machinery. 2008, Issue 1, Special section p1-10. 10p.

An on-line condition monitoring system for induction motors via instantaneous power analysis.

Authors: Irfan, M. Saad, N. Ibrahim, R. et al.

Source: Journal of Mechanical Science & Technology. Apr2015, Vol. 29 Issue 4, p1483-1492. 10p.

Subjects: Induction motors, Monitoring of machinery, Decision making, Nondestructive testing, Brushless electric motors