Results 31 to 40 of about 2,912 (188)

Fault Detection and Diagnosis with Imbalanced and Noisy Data: A Hybrid Framework for Rotating Machinery

Machines, 2022
Fault diagnosis plays an essential role in reducing the maintenance costs of rotating machinery manufacturing systems. In many real applications of fault detection and diagnosis, data tend to be imbalanced, meaning that the number of samples for some ...
Masoud Jalayer, Amin Kaboli, Carlotta Orsenigo, Carlo Vercellis   +3 more
doaj   +1 more source

Simulation-assisted control in building energy management systems [PDF]

, 2002
Technological advances in real-time data collection, data transfer and ever-increasing computational power are bringing simulation-assisted control and on-line fault detection and diagnosis (FDD) closer to reality than was imagined when building energy ...
Clarke, J.A., Cockroft, J., Conner, S., Hand, J., Kelly, N.J., Moore, R., O'Brien, T., Strachan, P.A.   +7 more
core   +1 more source

State-of-the-art on research and applications of machine learning in the building life cycle [PDF]

, 2020
Fueled by big data, powerful and affordable computing resources, and advanced algorithms, machine learning has been explored and applied to buildings research for the past decades and has demonstrated its potential to enhance building performance.
Hong, T, Luo, X, Wang, Z, Zhang, W
core   +1 more source

Second order sliding mode observers for the ADDSAFE actuator benchmark problem [PDF]

, 2014
Copyright © 2014 Elsevier. NOTICE: this is the author’s version of a work that was accepted for publication in Control Engineering Practice. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting,
Alwi, Halim, Edwards, Christopher
core   +1 more source

A Multi-Source Data-Driven Fault Detection and Diagnosis Method for Pumps

Energies
Fault detection and diagnosis (FDD) in pumps is crucial for building energy management by detecting the abnormal operation status, increasing the service life of equipment, and enhancing the energy performance of buildings. Most FDD methods predominantly
Jiefan Gu, Hongming Li, Chunlin Gong, Hengsheng Jia, Wei Luo, Peng Xu, Linxue Li, Kan Chen, Leqi Zhu, Renrong Ding   +9 more
doaj   +1 more source

Smart fault detection and diagnosis system for collaborative robots using deep learning techniques [PDF]

EPJ Web of Conferences
Fault Detection and Diagnosis (FDD) is crucial for ensuring safe, reliable, and energy-efficient operation of collaborative robots, especially with the growth of Industry 4.0.
Banu A. Nazreen, Ej Ibine, R Harish, Vardhan S Harsha   +3 more
doaj   +1 more source

Data-Driven Machine Learning for Fault Detection and Diagnosis in Nuclear Power Plants: A Review

Frontiers in Energy Research, 2021
Data-driven machine learning (DDML) methods for the fault diagnosis and detection (FDD) in the nuclear power plant (NPP) are of emerging interest in the recent years.
Guang Hu, Taotao Zhou, Qianfeng Liu
doaj   +1 more source

Observer-based fault-tolerant control for a class of networked control systems with transfer delays [PDF]

, 2011
not availableZehui Mao, Bin Jiang, Peng ...
Bin Jiang, Chen, Gu, He, He, Jiang, Jiang, Mahmoud, Mahmoud, Mahmoud, Mahmoud, Mao, Mao, Nešić, Peng Shi, Sheng, Shi, Vesely, Xia, Yang, Yang, Yang, Zehui Mao, Zhang, Zheng, Zhou   +25 more
core   +1 more source

Applied fault detection and diagnosis for industrial gas turbine systems [PDF]

, 2017
The paper presents readily implementable approaches for fault detection and diagnosis (FDD) based on measurements from multiple sensor groups, for industrial systems.
A. A. Datta, A. Soualhi, B. Lee, C. Romesis, Chris Bingham, F. Lu, F. Y. Chen, H. B. Liu, J. B. Yu, L. B. Jack, L. F. Gon¸calves, M. F. Harkat, M. Jiang, Michael Gallimore, Mike Garlick, N. Laouti, P. M. Frank, Q. Y. Su, S.T. Wu, T. Hastie, T. Kobayashi, T. Kohonen, W. Deng, X. Chen, Y. G. Zhang, Y. H. Li, Y. Kun, Y. Zhang, Yu Zhang   +28 more
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Simultaneous State and Parameter Estimation Based Actuator Fault Detection and Diagnosis for an Unmanned Helicopter

International Journal of Applied Mathematics and Computer Science, 2015
Simultaneous state and parameter estimation based actuator fault detection and diagnosis (FDD) for single-rotor unmanned helicopters (UHs) is investigated in this paper. A literature review of actuator FDD for UHs is given firstly.
Wu Chong, Qi Juntong, Song Dalei, Qi Xin, Han Jianda   +4 more
doaj   +1 more source