Search Results - "Xisheng Jia"

Combination of VMD Mapping MFCC and LSTM: A New Acoustic Fault Diagnosis Method of Diesel Engine by Yan, Hao, Bai, Huajun, Zhan, Xianbiao, Wu, Zhenghao, Wen, Liang, Jia, Xisheng

“…Diesel engines have a wide range of functions in the industrial and military fields. An urgent problem to be solved is how to diagnose and identify their…”
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A new fault diagnosis method based on convolutional neural network and compressive sensing by Ma, Yunfei, Jia, Xisheng, Bai, Huajun, Liu, Guozeng, Wang, Guanglong, Guo, Chiming, Wang, Shuangchuan

“…Compressive sensing is an efficient machinery monitoring framework, which just needs to sample and store a small amount of observed signal. However,…”
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Compression Reconstruction and Fault Diagnosis of Diesel Engine Vibration Signal Based on Optimizing Block Sparse Bayesian Learning by Bai, Huajun, Wen, Liang, Ma, Yunfei, Jia, Xisheng

“…It is critical to deploy wireless data transmission technologies remotely, in real-time, to monitor the health state of diesel engines dynamically. The usual…”
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Transformer-based intelligent fault diagnosis methods of mechanical equipment: A survey by Wang, Rongcai, Dong, Enzhi, Cheng, Zhonghua, Liu, Zichang, Jia, Xisheng

“…Transformer is extensively employed in natural language processing, and computer vision (CV), with the self-attention structure. Due to its outstanding…”
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A two-stage framework for predicting the remaining useful life of bearings by Zhan, Xianbiao, Liu, Zixuan, Yan, Hao, Wu, Zhenghao, Guo, Chiming, Jia, Xisheng

“…The traditional prediction of remaining useful life (RUL) for bearings cannot be calculated in parallel and requires manual feature extraction and artificial…”
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A Review of Fault Diagnosis Methods for Rotating Machinery Using Infrared Thermography by Wang, Rongcai, Zhan, Xianbiao, Bai, Huajun, Dong, Enzhi, Cheng, Zhonghua, Jia, Xisheng

“…At present, rotating machinery is widely used in all walks of life and has become the key equipment in many production processes. It is of great significance…”
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A New State Recognition and Prognosis Method Based on a Sparse Representation Feature and the Hidden Semi-Markov Model by Ma, Yun-Fei, Jia, Xisheng, Hu, Qiwei, Bai, Huajun, Guo, Chiming, Wang, Shuangchuan

“…Equipment degradation state recognition and prognosis are considered two significant parts of a prognostics and health management (PHM) system that help to…”
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A framework for intelligent reliability centered maintenance analysis by Cheng, Zhonghua, Jia, Xisheng, Gao, Ping, Wu, Su, Wang, Jianzhao

“…To improve the efficiency of reliability-centered maintenance (RCM) analysis, case-based reasoning (CBR), as a kind of artificial intelligence (AI) technology,…”
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Integrated selective maintenance and task assignment optimization for multi-state systems executing multiple missions by Ma, Weining, Zhang, Qin, Xiahou, Tangfan, Liu, Yu, Jia, Xisheng

“…•A new selective maintenance for systems executing multiple missions is developed.•Selective maintenance and task assignment are jointly optimized.•The joint…”
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A literature review on selective maintenance for multi‐unit systems by Cao, Wenbin, Jia, Xisheng, Hu, Qiwei, Zhao, Jianmin, Wu, Yutao

“…Selective maintenance is regarded as a type of profit‐generating maintenance policy, playing an important role in balancing limited maintenance resources with…”
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An intelligent reliability centered maintenance analysis system based on case-based reasoning & rule-based reasoning by Zhonghua Cheng, Xisheng Jia

“…Artificial intelligence (AI) technologies, such as case-based reasoning (CBR) and rule-based reasoning (RBR), were successfully introduced into RCM analysis…”
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Conditional generative adversarial network based data augmentation for fault diagnosis of diesel engines applied with infrared thermography and deep convolutional neural network by Wang, Rongcai, Jia, Xisheng, Liu, Zichang, Dong, Enzhi, Li, Siyu, Cheng, Zhonghua

“…This paper tries to introduce a new intelligent method for the early fault diagnosis of diesel engines. Firstly, infrared thermography (IRT) is introduced into…”
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An Optimization Research on the Alternate Interval for Electronic Products by Yutao Wu, Xisheng Jia, Liang Wen, Xu'an Wang

“…In order to improve the reliability of electronic products and reduce the probability of failure of spare parts, this paper proposes a method of using…”
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A novel method of health indicator construction and remaining useful life prediction based on deep learning by Zhan, Xianbiao, Liu, Zixuan, Yan, Hao, Wu, Zhenghao, Guo, Chiming, Jia, Xisheng

“…The construction of health indicators (HI) for traditional deep learning requires human training labels and poor interpretability. This paper proposes an HI…”
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FMECA and FTA based automatic generation technology in familiar failures data module of IETM by Wenjiang Huang, Xisheng Jia, Qiwei Hu, Minfang Zhang

“…To solve the problems of difficulty to obtain failure data and huge computation occurred in analysis and eliminating methods of familiar failures module of…”
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Cost-benefit analysis of the application of prognostics and health management technology by Bo Wu, Xisheng Jia, Lianghua Xia, Congying Lei, Yabin Wang

“…This paper presents a methodology to perform cost-benefit analysis on the application of Prognostics and Health Management (PHM) technology for equipment. The…”
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Robustness of age replacement strategy in maintenance management by Liang Wen, Su Wu, Xisheng Jia, Binfeng Li

“…The robust problem of age replacement models in maintenance management is discussed in this paper. The characters of optimal solutions of age replacement…”
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A Framework for the Case-Based and Model-Based RCM Analysis by Zhonghua Cheng, Xisheng Jia, Luchao Wang, Yongsheng Bai

“…To improve the efficiency and scientificity of Reliability Centered Maintenance (RCM) analysis, in the paper, Case-Based Reasoning (CBR) and maintenance…”
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Research of the model of maintenance and support on the surface-to-air missile by Liying Peng, Xisheng Jia, Yabin Wang

“…The maintenance and support system is analyzed on surface-to-air missile, and the process model is proposed on the repair maintenance process, prevention…”
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Prediction method of the maintenance resources requirement for weapon system by Yabin Wang, Xisheng Jia, Hongbo Liu

“…Traditional maintenance support model is not adapted to the future battle requirement, for it can only support a single kind of equipment or a group of…”
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