Results 11 to 20 of about 6,390,732 (328)

Wind Turbine Main Bearing Failure Prediction using a Hybrid Neural Network

Journal of Physics, Conference Series, 2022
Energy is necessary for economic growth and improved well-being, but it poses a great challenge to be generated without increasing costs and avoiding pollution. A viable option is wind energy because it is a clean and renewable.
Karen Bermudez, Eduardo Ortiz-Holguin, C. Tutivén, Y. Vidal, Carlos Benalcazar-Parra   +4 more
semanticscholar   +1 more source

An Adaptive Modeling Framework for Bearing Failure Prediction

Electronics, 2022
Rolling element bearings are a common component in rotating equipment, a class of machines that is essential in a wide range of industries. Detecting and predicting bearing failures is then vital for reducing maintenance and production costs due to ...
Yun-Tian Zhao, Maxwell Toothman, J. Moyne, K. Barton   +3 more
semanticscholar   +1 more source

A Study on Early Stages of White Etching Crack Formation under Full Lubrication Conditions

Lubricants, 2022
The appearance of White Etching Cracks (WEC), not covered by the ISO 281 modified failure rate calculation, leads to difficulties in predicting bearing reliability.
Walter Holweger, Alexander Schwedt, Viktorija Rumpf, Joachim Mayer, Christof Bohnert, Jürgen Wranik, Joshua Spille, Ling Wang   +7 more
doaj   +1 more source

Decision letter for "A study on diesel engine crankshaft bearing failure analysis with consideration of bearing lubrication"

Industrial Lubrication and Tribology, 2021
Purpose The edge of diesel engine crankshaft main bearing is more likely to fail in its real working condition. This paper aims to study the bearing failure mechanism by finding the relationship between bearing lubrication characteristics and its ...
Qi Liu, Bai-Qi Huo, Yunsheng Liu, Jun-Chao Zhu   +3 more
semanticscholar   +1 more source

Increasing Wind Turbine Drivetrain Bearing Vibration Monitoring Detectability Using an Artificial Neural Network Implementation

Applied Sciences, 2021
The highest costs due to premature failures in wind turbine drivetrains are related to defects in the gearbox, with bearing failures being overrepresented. Vibration monitoring has been identified as the primary tool to detect and diagnose these types of
Daniel Strömbergsson, Pär Marklund, Kim Berglund   +2 more
doaj   +1 more source

Early Failure Detection and Diagnostics of High Speed Self Aligning Journal Bearing [PDF]

Because of their high load carrying capacity and low cost, journal bearings are widely used to support the rotor of industrial machinery with high loads, such as steam turbines, centrifugal compressors and pumps.
Gu, Fengshou, Ball, Andrew, Al Thobiani, Faisal, Raharjo, Parno   +3 more
core   +5 more sources

Motor Bearing Damage Induced by Bearing Current: A Review

Machines, 2022
The occurrence of the motor shaft voltage and bearing current caused by the inverter will aggravate bearing damage and lead to the premature failure of bearings.
Jiaojiao Ma, Yujian Xue, Qingkai Han, Xuejun Li, Changxin Yu   +4 more
doaj   +1 more source

A Learning Variable Neighborhood Search Approach for Induction Machines Bearing Failures Detection and Diagnosis

Energies, 2020
This paper proposes a three-phase metaheuristic-based approach for induction machine bearing failure detection and diagnosis. It consists of extracting and processing different failure types features to set up a knowledge base, which contains different ...
Charaf Eddine Khamoudj, Fatima Benbouzid-Si Tayeb, Karima Benatchba, Mohamed Benbouzid, Abdenaser Djaafri   +4 more
doaj   +1 more source

A Study on Decisive Early Stages in White Etching Crack Formation Induced by Lubrication

Lubricants, 2022
The reliability of rolling bearings is affected by white etching crack (WEC) or white structure flaking (WSF) failures, causing tremendous commercial burdens for bearing manufacturers and operators.
Jürgen Wranik, Walter Holweger, Tarek Lutz, Philipp Albrecht, Benedikt Reichel, Ling Wang   +5 more
doaj   +1 more source

FaultFace: Deep Convolutional Generative Adversarial Network (DCGAN) based Ball-Bearing Failure Detection Method [PDF]

2019 1st International Conference on Industrial Artificial Intelligence (IAI), 2019
Failure detection is a useful tool in the industry to improve system performance and reduce costs due to unexpected malfunction events. However, it is usual that there are few datasets about nominal or failure operating behavior of a system, which ...
J. Viola, YangQuan Chen, Jing Wang
semanticscholar   +1 more source