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Multi-Objective Optimization Design of Key Parameters of a Stepless Flow Control System with Multi-System Coupling Characteristics

Applied Sciences, 2022
The stepless flow control system offers important energy-saving technology for reciprocating compressors in the petrochemical and oil refining industries. Optimizing the movement characteristics of the unloader and suction valve is vital to improving the
Xu Sun, Yao Wang, Jinjie Zhang, Fuchang Lei, Degeng Zhao, Huaibin Hong   +5 more
doaj   +1 more source

Multi-Type Diesel Engines Operating Condition Recognition Method Based on Stacked Auto-Encoder and Feature Transfer Learning

IEEE Access, 2021
It is of great significance to diagnose the fault of diesel engine, which is widely used in many important fields as key power equipment. The accuracy of fault diagnosis can be effectively improved by obtaining the complex and changeable operating ...
Guoqing Xiong, Wensheng Ma, Nanyang Zhao, Jinjie Zhang, Zhinong Jiang, Zhiwei Mao   +5 more
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Time-frequency Feature Extraction Method of the Multi-Source Shock Signal Based on Improved VMD and Bilateral Adaptive Laplace Wavelet

Chinese Journal of Mechanical Engineering, 2023
Vibration signals have the characteristics of multi-source strong shock coupling and strong noise interference owing to the complex structure of reciprocating machinery.
Nanyang Zhao, Jinjie Zhang, Zhiwei Mao, Zhinong Jiang, He Li   +4 more
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Optimal Design of Novel Electromagnetic-Ring Active Balancing Actuator with Radial Excitation

Chinese Journal of Mechanical Engineering, 2021
Imbalance vibration is a typical failure mode of rotational machines and has significant negative effects on the efficiency, accuracy, and service life of equipment.
Xin Pan, Xiaotian He, Haiqi Wu, Chuanlong Ju, Zhinong Jiang, Jinji Gao   +5 more
doaj   +1 more source

Decoupling Identification Method of Continuous Working Conditions of Diesel Engines Based on a Graph Self-Attention Network

IEEE Access, 2022
Complex and changeable working conditions are important factors affecting the accuracy and robustness of diesel engine fault diagnosis models. Working condition identification can provide a basic reference for the unit operation state, which is of great ...
Anzheng Huang, Binbin Bao, Nanyang Zhao, Jinjie Zhang, Zhinong Jiang, Zhiwei Mao   +5 more
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A Method for Constructing Automatic Rolling Bearing Fault Identification Model Based on Refined Composite Multi-Scale Dispersion Entropy

IEEE Access, 2021
In this paper, one of most widely utilized rolling bearings in rotating machinery is selected as the research object. Automatic rolling bearing fault identification model including support vector machine (SVM) training module, fault classification ...
Qingfeng Wang, Yang Xiao, Shuai Wang, Wencai Liu, Xiaojin Liu   +4 more
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Online Incipient Fault Detection Method Based on Improved ℓ₁ Trend Filtering and Support Vector Data Description

IEEE Access, 2021
Poor model generalization, missing or false alarms, and heavy dependence on expert’s experience are some of the major problems which exist in traditional incipient fault detection (IFD) methods.
Qingfeng Wang, Xiaojin Liu, Bingkun Wei, Wenwu Chen   +3 more
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A Review on Self-Recovery Regulation (SR) Technique for Unbalance Vibration of High-End Equipment

Chinese Journal of Mechanical Engineering, 2020
The high-end equipment represented by high-end machine tools and aero-engines is the core component of the national intelligent manufacturing plan, and the mass unbalance is the main reason for its excessive vibration, that seriously impacts the ...
Xin Pan, Jiaqiao Lu, Jiaji Huo, Jinji Gao, Haiqi Wu   +4 more
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Data-Driven Incipient Fault Prediction for Non-Stationary and Non-Linear Rotating Systems: Methodology, Model Construction and Application

IEEE Access, 2020
Many researches have been carried out on incipient fault prediction technology for key machine components (such as bearings) based on historical and real-time condition monitoring data.
Qingfeng Wang, Bingkun Wei, Jiahe Liu, Wensheng Ma   +3 more
doaj   +1 more source

Research on a Multisource Domain Improved Fault Diagnosis Method of the Rotor System

IEEE Access, 2022
In this paper, rotor systems of the rotating machinery such as steam turbines, centrifugal compressors and flue gas turbines are selected as the research objects.
Yang Xiao, Qingfeng Wang, Shuai Wang, Wenwu Chen   +3 more
doaj   +1 more source