Results 171 to 180 of about 5,124 (208)

Improved dung beetle optimized MPPT with novel FOTPIDn(1 + PD) control in grid connected PV for optimal power sharing. [PDF]

Sci Rep
Dhir R, Garg R, Nangia U.
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Diffusion-augmented YOLO26-Swin cascaded framework with hybrid SHAP-CAM for autonomous power grid inspection. [PDF]

Auton Intell Syst
Stefenon SF, Matos-Carvalho JP, Mariani VC, Dos Santos Coelho L, Yow KC.   +4 more
europepmc   +1 more source

Edge Temporal Digital Twin Network for Sensor-Driven Fault Detection in Nuclear Power Systems. [PDF]

Sensors (Basel)
Liu S, Ye G, Zhao X.
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Ball bearing fault detection using an acoustic based machine learning approach. [PDF]

Sci Rep
Chandrakala CB, Karumanchi SS, Raghudathesh GP, Madhwesh N.   +3 more
europepmc   +1 more source

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Multi-attribute Bayesian fault prediction for hidden-state systems under condition monitoring

Applied Mathematical Modelling, 2022
Abstract Although Bayesian approaches have been utilized in engineering systems for health prognostics, very little work has been done using Bayesian methods for fault prediction of systems under multiple attributes. To address this issue, in this paper a novel multi-attribute Bayesian control chart is presented for predicting failures of hidden ...
Chaoqun Duan, Yifan Li, Huayan Pu, Jun Luo   +3 more
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Robust fault diagnosis of rolling bearings via entropy-weighted nuisance attribute projection and neural network under various operating conditions

Structural Health Monitoring, 2022
Rolling bearings are crucial components in the fields of mechanical, civil, and aerospace engineering. They sometimes work under various operating conditions, which makes it harder to distinguish faults from normal signals. Nuisance attribute projection (NAP) is a technique that has been widely used in audio and image recognition to eliminate ...
Di Yang, Yong Lv, Rui Yuan, Hewenxuan Li, Weihang Zhu   +4 more
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Hybrid attribute conditional adversarial denoising autoencoder for zero-shot classification of mechanical intelligent fault diagnosis

Applied Soft Computing, 2020
Abstract Data-based intelligent fault diagnosis method is a research hotspot in modern mechanical systems. However, due to practical limitations, fault samples under all working conditions cannot be obtained, which would cause the data-based model lack of particular training data, resulting in unsatisfied testing performance.
Haixin Lv, Jinglong Chen, Tongyang Pan, Zitong Zhou   +3 more
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Seismic Data Conditioning and Combination Attribute for Fault / Fracture Detection

EAGE workshop on Developments in Land Seismic Acquisition for Exploration, 2010
Unconventional resources are those resources which require greater than industry standard technology or invesment to harness them. Tight sand gas is one such resource. The small faults and fractures play majot role in determining the reservoir quality in such cases.
A. Prakash, R. Husain, A. Nada Mohamad, M. Rinaldi   +3 more
openaire   +1 more source