Intelligent Fault Detection of Rolling Element Bearing under Variable Operating Conditions by Convolutional Neural Network using Time and Frequency Domain Signals [PDF]
مهندسی مکانیک شریفIntelligent detection of rolling element bearing faults is a critical aspect of rotating equipment condition monitoring. Early detection of faults holds significant economic value for industrial units in terms of maintenance and planning.
A. Farahani +3 more
doaj +1 more source
Suitable Analysis of Micro-Increased Capacity Model on Cold-End System of Nuclear Power Plant
Energies, 2023 The cold-end system of a nuclear power plant is a key complex node connecting the power generation system with the variable environmental conditions, and its operation, economy, and stability have become the main obstacles to further improving the ...
Xinming Xi +5 more
doaj +1 more source
A New Complete Condition Monitoring Method for SiC Power MOSFETs
IEEE transactions on industrial electronics (1982. Print), 2021 This article proposes a new complete condition monitoring method which can independently monitor both the threshold voltage drift and the packaging degradation accurately by monitoring only the reverse body diode voltage drop at different gate bias ...
Enes Ugur +4 more
semanticscholar +1 more source
A New Method of Identifying the Limit Condition of Injection Pump Wear in Self-Ignition Engines
Energies, 2020 The quality or reliability of diagnostics is understood as obtaining the most likely diagnosis, and finding possible causes leading to incorrect operation of the system. In real engine running conditions it is often very difficult.
Artur Bejger, Jan Bohdan Drzewieniecki
doaj +1 more source
A Condition Monitoring and Fault Isolation System for Wind Turbine Based on SCADA Data
IEEE Transactions on Industrial Informatics, 2021 Condition monitoring of the wind turbine based on supervisory control and data acquisition (SCADA) data has attracted much attention in recent years. Nevertheless, there are some inherent challenges in SCADA data analysis, including the low sampling rate,
Xingchen Liu, Juan Du, Z. Ye
semanticscholar +1 more source
Interpretation of partial discharge activity in the presence of harmonics [PDF]
, 2010 Recent work has identified that circumstances of equipment operation can radically change condition monitoring data. This contribution investigates the significance of considering circumstance monitoring on the diagnostic interpretation of such condition
Bahadoorsingh, S. +4 more
core +1 more source
Remaining Useful Life Prediction by Fusing Expert Knowledge and Condition Monitoring Information
IEEE Transactions on Industrial Informatics, 2021 In this article, we develop a mixture of Gaussians-evidential hidden Markov model (MoG-EHMM) to fuse expert knowledge and condition monitoring information for remaining useful life (RUL) prediction under the belief function theory framework.
Tangfan Xiahou, Zhiguo Zeng, Yu Liu
semanticscholar +1 more source
Cooling Performance Enhancement of Air-Cooled Condensers by Guiding Air Flow
Energies, 2019 Adverse wind effects on the thermo-flow performances of air-cooled condensers (ACCs) can be effectively restrained by wind-proof devices, such as air deflectors.
Xianwei Huang +4 more
doaj +1 more source
Designing Wind Turbine Condition Monitoring Systems Suitable for Harsh Environments [PDF]
, 2013 Research into wind turbine condition monitoring is continually receiving greater attention due to the potential benefits from condition monitoring systems (CMS). These benefits can only be realised with high reliability of the condition monitoring system
Booth, Campbell +3 more
core +1 more source
Shock and Vibration, 2016 Reliable monitoring for the early fault diagnosis of gearbox faults is of great concern for the wind industry. This paper presents a novel approach for health condition monitoring (CM) and fault diagnosis in wind turbine gearboxes using vibration ...
A. Romero +4 more
doaj +1 more source