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Research on Fault Diagnosis of Reciprocating Compressor Based on GAF and Inception-ResNet-v2
2022 IEEE 8th International Conference on Computer and Communications (ICCC), 2022The fault signal of the reciprocating compressor has many excitation sources and nonlinear. Deep learning can solve such problems. However, with the deepening of the network, the amount of model parameters is increased, and the phenomenon of gradient ...
Junling Zhang +2 more
semanticscholar +1 more source
Effect of the micro-textured piston on the performance of a hermetic reciprocating compressor
Proceedings of the Institution of mechanical engineers. Part J, journal of engineering tribology, 2022A hermetic reciprocating compressor is one of the most critical parts for the energy efficiency of a household refrigerator. Piston-cylinder contact in the hermetic compressor accounts for most of the energy loss.
A. Shahzad, Umar Ul Haque, I. Lazoglu
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Optimization of capacity control of reciprocating compressor using multi-system coupling model
, 2021The actuator of the stepless capacity control system of a reciprocating compressor directly controls the action characteristics of the suction valve, thus changing the regulation system energy-saving effect and the operating performance of the compressor.
Xushu Sun +4 more
semanticscholar +1 more source
Piston trajectory optimization of a reciprocating compressor
, 2021Energetic efficiency is one of the main drivers in the design of hermetic reciprocating compressors. Although many studies have been conducted on this subject, there is still room for further improvement, mainly by mitigating thermodynamic losses.
Ernane Silva, T. Dutra
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Design, modeling and characteristics research of a novel self-air-cooling reciprocating compressor
, 2021High pressure miniature air compressor plays an irreplaceable role in some areas such as refrigeration and pneumatic ejection in the fighter. But, as a lot of heat is produced during compression, the cooling system consumes relatively more energy and its
Xiaohui Gao, Yongguang Liu
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, 2021
The reciprocating compressor is, in general, a critical equipment in a process plant. For certain ultra-high-pressure process, if the reciprocating compressor fails, often it will cause serious impact to not just the compressor itself, but also the ...
Yen‐Ju Lu +2 more
semanticscholar +1 more source
The reciprocating compressor is, in general, a critical equipment in a process plant. For certain ultra-high-pressure process, if the reciprocating compressor fails, often it will cause serious impact to not just the compressor itself, but also the ...
Yen‐Ju Lu +2 more
semanticscholar +1 more source
Anomaly Detection of a Reciprocating Compressor using Autoencoders
International Symposium Instrumentation, Control, Artificial Intelligence, and Robotics, 2021This study introduces a novel approach for early fault detection using an autoencoder under time-varying conditions of a reciprocating compressor.
Chittkasem Charoenchitt, P. Tangamchit
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Proceedings of the Institution of mechanical engineers. Part E, journal of process mechanical engineering, 2021
This paper presents a transient computational fluid dynamics (CFD) model of a reciprocating compressor to study the interaction of the thermodynamic process and pressure pulsation.
Bin Zhao +4 more
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This paper presents a transient computational fluid dynamics (CFD) model of a reciprocating compressor to study the interaction of the thermodynamic process and pressure pulsation.
Bin Zhao +4 more
semanticscholar +1 more source
Cross-scenario transfer diagnosis of reciprocating compressor based on CBAM and ResNet
Journal of Intelligent & Fuzzy Systems, 2022To address data distribution discrepancy across scenarios, deep transfer learning is used to help the target scenario complete the recognition task using similar scenario data.
Lijun Zhang, Li-xiang Duan
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Measurement, 2020
In order to denoise the raw signal and fuse multiple sources of information for the fault diagnosis of reciprocating compressor, this paper proposes a novel convolutional deep belief network-based method and employs a novel framework fusing multi-source ...
Ying Zhang, J. Ji, Boyuan Ma
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In order to denoise the raw signal and fuse multiple sources of information for the fault diagnosis of reciprocating compressor, this paper proposes a novel convolutional deep belief network-based method and employs a novel framework fusing multi-source ...
Ying Zhang, J. Ji, Boyuan Ma
semanticscholar +1 more source