Results 11 to 20 of about 99,648 (313)
Remaining Useful Life Prediction for Rotating Machinery Based on Optimal Degradation Indicator
Remaining useful life (RUL) prediction can provide early warnings of failure and has become a key component in the prognostics and health management of systems.
Aisong Qin +5 more
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Blind Source Separation Method for Bearing Vibration Signals
In underdetermined blind source separation (UBSS) of vibration signals, the estimation of the mixing matrix is often affected by noise and by the type of the used clustering algorithm.
He Jun +4 more
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The ability of the frequency slice wavelet transform (FSWT) to distinguish the fault feature is weak under the condition of strong background noise; in order to solve this problem, a fault feature extraction method combining the singular value ...
Fu-Cheng Zhou, Gui-Ji Tang, Yu-Ling He
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Fault diagnosis of rolling bearings under variable speed is a common issue in engineering practice, but it lacks an effective diagnosis algorithm, while approaches developed for steady speed cannot be directly applied.
Yujing Huang +4 more
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Impact of Fouling on Flow-Induced Vibration Characteristics in Fluid-Conveying Pipelines
This paper has addressed the common monitoring problems in petrochemical companies, which are caused by fouling and clogging in the circulating water heat exchangers, and has introduced techniques to monitor the heat exchanger's wall vibrations for early
Jianfeng Huang +4 more
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Machinery Fault Diagnosis Scheme Using Redefined Dimensionless Indicators and mRMR Feature Selection
Machinery fault diagnosis methods based on dimensionless indicators have long been studied. However, traditional dimensionless indicators usually suffer a low diagnostic accuracy for mechanical components.
Qin Hu +4 more
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Analysis and Optimization of a Compressed Air Energy Storage—Combined Cycle System
Compressed air energy storage (CAES) is a commercial, utility-scale technology that provides long-duration energy storage with fast ramp rates and good part-load operation. It is a promising storage technology for balancing the large-scale penetration of
Wenyi Liu +6 more
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A novel fault diagnosis method for rolling bearings based on multi-scale redefined dimensionless indicators and an unsupervised feature selection method using density peak clustering with geodesic distances is proposed in this paper. First, a new feature
Qin Hu +4 more
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A Multi-Objective Hybrid Cloud Resource Scheduling Method Based on Deadline and Cost Constraints
We propose a task-oriented multi-objective scheduling method based on ant colony optimization (MOSACO) to optimize the finite pool of public and private computing resources in a hybrid cloud computing environment according to deadline and cost ...
Liyun Zuo +4 more
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Incremental fault diagnosis [PDF]
Fault diagnosis is important in improving the circuit-design process and the manufacturing yield. Diagnosis of today's complex defects is a challenging problem due to the explosion of the underlying solution space with the increasing number of fault locations and fault models. To tackle this complexity, an incremental diagnosis method is proposed. This
J.B. Liu, A. Veneris
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