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Proceedings Papers

A Convolution Neural Network Based Fault Diagnosis Model for Slug Flow Condition of Oil-Gas Separator

Jiaquan Liu, Lei Hou, Xin Wang, Lei Xu, Rui Zhang, Kai Yang
Proc. ASME. PVP2021, Volume 5: Operations, Applications, and Components; Seismic Engineering; Non-Destructive Examination, V005T07A001, July 13–15, 2021
Paper No: PVP2021-61681
https://doi.org/10.1115/PVP2021-61681
View Paper titled, A Convolution Neural Network Based Fault Diagnosis Model for Slug Flow Condition of Oil-Gas Separator
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Topics: Artificial neural networks, Fault diagnosis, Slug flows
Proceedings Papers

Uncertainty Management in Lebesgue Sampling-Based Fault Diagnosis and Prognosis

Wuzhao Yan, Bin Zhang
Proc. ASME. PVP2016, Volume 5: High-Pressure Technology; Rudy Scavuzzo Student Paper Symposium and 24th Annual Student Paper Competition; ASME Nondestructive Evaluation, Diagnosis and Prognosis Division (NDPD); Electric Power Research Institute (EPRI) Creep Fatigue Workshop, V005T10A002, July 17–21, 2016
Paper No: PVP2016-63909
https://doi.org/10.1115/PVP2016-63909
View Paper titled, Uncertainty Management in Lebesgue Sampling-Based Fault Diagnosis and Prognosis
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Topics: Fault diagnosis, Uncertainty, Noise (Sound), Mechanical drives, Algorithms, Decision making, Failure, Filtration, Maintenance, Particulate matter
Proceedings Papers

Development of a New Type of Maintenance Management System Based on Reliability for Rotating Equipments in Typical Petrochemical Plant

Xiang Li, Guodong Jia, Hui Wang, Weihua Wang
Proc. ASME. PVP2015, Volume 1B: Codes and Standards, V01BT01A042, July 19–23, 2015
Paper No: PVP2015-45870
https://doi.org/10.1115/PVP2015-45870
View Paper titled, Development of a New Type of Maintenance Management System Based on Reliability for Rotating Equipments in Typical Petrochemical Plant
Open the PDF for Development of a New Type of Maintenance Management System Based on Reliability for Rotating Equipments in Typical Petrochemical Plant in another window
Topics: Maintenance, Petrochemicals, Reliability, Compressors, Event history analysis, China, Fans, Fault diagnosis, Optimization, Pumps