Results 21 to 30 of about 968,782 (237)

Extracting Feature Information and its Visualization Based on the Characteristic Defect Octave Frequencies in a Rolling Element Bearing

Data Science Journal, 2007
Monitoring the condition of rolling element bearings and defect diagnosis has received considerable attention for many years because the majority of problems in rotating machines are caused by defective bearings.
Jianyu Lei, Mingfu Liao
doaj   +1 more source

Application of acoustic emission to seeded gear fault detection [PDF]

, 2005
Acoustic emission (AE) is gaining ground as a non-destructive technique for health diagnosis on rotating machinery. There are vast opportunities for development of the AE technique on various forms of rotating machinery, including gearboxes.
Mba, David, Tan, Chee Keong, Toutountzakis, Tim   +2 more
core   +1 more source

Hard Solid Deposit Formation on Turbine Housing, Nozzle and Blades in Marine Use Turbocharger at the Elevated Temperature

Tribology Online, 2014
Hard solid deposit formation has been inevitable problem in marine use turbocharger, and many engineers have struggled with it for years. It is due to low quality fuel, and the deposit results in the deterioration of the performance.
Fumihiko Yokoyama, Yuka Iwama, Ken Nakano, Yutaka Hirata   +3 more
doaj   +1 more source

Rotating machinery anomaly detection using data reconstruction generative adversarial networks with vibration energy analysis

AIP Advances, 2022
Rotating machines, such as engines, turbines, or gearboxes, are widely used in modern society. Their mechanical components, such as rotors, bearings, or gears, are the main parts, and any failure in them can lead to a complete shutdown of the rotating ...
Jun Li, Yongbao Liu, Qiang Wang, Zhikai Xing, Fan Zeng   +4 more
doaj   +1 more source

A Review of Tilting Pad Bearing Theory

International Journal of Rotating Machinery, 2011
A theoretical basis for static and dynamic operation of tilting pad journal bearings (TPJBs) has evolved over the last 50 years. Originally demonstrated by Lund using the pad assembly method and a classic Reynolds equation solution, the current state of ...
Timothy Dimond, Amir Younan, Paul Allaire   +2 more
doaj   +1 more source

Application of Rotating Machinery Fault Diagnosis Based on Deep Learning

Shock and Vibration, 2021
With the continuous progress of modern industry, rotating machinery is gradually developing toward complexity and intelligence. The fault diagnosis technology of rotating machinery is one of the key means to ensure the normal operation of equipment and ...
Wei Cui, Guoying Meng, Aiming Wang, Xinge Zhang, Jun Ding   +4 more
doaj   +1 more source

Thermal Image Enhancement using Bi-dimensional Empirical Mode Decomposition in Combination with Relevance Vector Machine for Rotating Machinery Fault Diagnosis [PDF]

, 2009
In this study, a novel fault diagnosis system for rotating machinery using thermal imaging is proposed. This system consists of bi-dimensional empirical mode decomposition (BEMD) for image enhancement, a generalized discriminant analysis (GDA) for ...
Yang, Bo-Suk, Gu, Fengshou, Ball, Andrew, Al-Ani, A, Yang, Bo Suk, Tran, Van Tung, Al-Jumaily, A, Khushaba, RN   +7 more
core   +1 more source

Selecting a squeeze film damper model for solving problems of gas turbine engine rotor dynamics

Вестник Самарского университета: Аэрокосмическая техника, технологии и машиностроение, 2017
Various standard mathematical squeeze film damper (SFD) models that can be applied for solving rotor dynamics problems of gas turbine engines (GTE) are presently available.
M. K. Leontiev, M. N. Kutakov
doaj   +1 more source

Failure Prediction of the Rotating Machinery Based on CEEMDAN-ApEn Feature and AR-UKF Model

Applied Sciences, 2020
A novel failure prediction method of the rotating machinery is presented in this paper. Firstly, the complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) is applied to decompose the vibration signals of the rotating machinery into
Jingli Yang, Yongqi Chang, Tianyu Gao, Jianfeng Wang   +3 more
doaj   +1 more source

Multisource Fault Signal Separation of Rotating Machinery Based on Wavelet Packet and Fast Independent Component Analysis

International Journal of Rotating Machinery, 2021
The vibration signal of rotating machinery compound faults acquired in actual fields has the characteristics of complex noise sources, the strong background noise, and the nonlinearity, causing the traditional blind source separation algorithm not be ...
Feng Miao, Rongzhen Zhao, Leilei Jia, Xianli Wang   +3 more
doaj   +1 more source