Intelligent Fault Detection of Rolling Element Bearing under Variable Operating Conditions by Convolutional Neural Network using Time and Frequency Domain Signals [PDF]
Intelligent 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
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
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A New Method of Identifying the Limit Condition of Injection Pump Wear in Self-Ignition Engines
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
Rapid design of tool-wear condition monitoring systems for turning processes using novelty detection [PDF]
Condition monitoring systems of manufacturing processes have been recognised in recent years as one of the key technologies that provide the competitive advantage in many manufacturing environments. It is capable of providing an essential means to reduce
Al-Habaibeh, A, Al-Azmi, A, Redgate, J
core +1 more source
Cooling Performance Enhancement of Air-Cooled Condensers by Guiding Air Flow
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
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
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OBJECT-ORIENTED CHANGE DETECTION BASED ON SPATIOTEMPORAL RELATIONSHIP IN MULTITEMPORAL REMOTE-SENSING IMAGES [PDF]
In this paper a novel object-oriented change detection approach in multitemporal remote-sensing images is proposed. In order to improve post classification comparison (PCC) performance, we propose to exploit spatiotemporal relationship between two images
L. Liang, G. Ying, X. Wen, Y. Zhang
doaj +1 more source
For thermal power generation, the natural draft hybrid cooling system (NDHCs) with airflows in parallel design gives a multi-objective solution for water saving, performance enhancement and maintenance issues, like corrosion, by switching the loads of ...
Huimin Wei +4 more
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Comprehensive experimental evaluation of a systematic approach for cost effective and rapid design of condition monitoring systems using Taguchi's Method [PDF]
This paper provides an extensive experimental and analytical evaluation of a previously presented approach to the systematic design of condition monitoring systems for machining operations [1].
Al-Habaibeh, A +2 more
core +1 more source
Organic Rankine cycle (ORC) is a reliable technology to recover low-grade heat sources. The radial-inflow turbine is a critical component, which has a significant influence on the overall efficiency of ORC system.
Peng Li +4 more
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