检索结果分析
成果/Result
成果类型
- 期刊论文
- 学位论文
- 专利
- 会议论文
- 科技成果
- 标准
- 专著
- 产品
- 科技报告
- 政策法规
- 内部文献
- 报纸
- Bearing Fault Feature Enhancement and Diagnosis Based on Statistical Filtering and 1.5-Dimensional Symmetric Difference Analytic Energy Spectrum
- IEEE SENSORS JOURNALLiao, Zhiqiang Song, Xuewei Jia, Baozhu Chen, Peng 出版年：2021
- Bearing fault impulses are easily submerged by background noise, resulting in the inconspicuous fault feature and affecting the accuracy of the fault diagnosis. This paper presents a novel method for bearing the fault fe...
- Rolling bearing fault diagnosis method using time-frequency information integration and multi-scale TransFusion network
- KNOWLEDGE-BASED SYSTEMSWang, Zekun Xu, Zifei Cai, Chang Wang, Xiaodong Xu, Jianzhong Shi, Kezhong Zhong, Xiaohui Liao, Zhiqiang Li, Qing 'an 出版年：2024
- Advances in deep learning methods have demonstrated remarkable development in diagnosing faults of rotating machinery. The currently popular deep neural networks suffer from design flaws in their network structure, leadi...
- Bearing Fault Diagnosis Using Reconstruction Adaptive Determinate Stationary Subspace Filtering and Enhanced Third-Order Spectrum
- IEEE SENSORS JOURNALLiao, Zhiqiang Song, Xuewei Wang, Hongfeng Song, Weiwei Jia, Baozhu Chen, Peng 出版年：2022
- Raw vibration signals poorly perform in industrial bearing fault diagnosis because impulse features are damped and masked by disturbances and noises. Fault diagnosis is more challenging due to weak features. This work pr...
- Incrementally accumulated holographic SDP characteristic fusion method in ship propulsion shaft bearing fault diagnosis
- MEASUREMENT SCIENCE AND TECHNOLOGYSong, Xuewei Liao, Zhiqiang Wang, Hongfeng Song, Weiwei Chen, Peng 出版年：2022
- To improve the accuracy of the fault diagnosis of a ship propulsion shaft bearing in a harsh working environment, a visual diagnosis method based on the incrementally accumulated holographic symmetrical dot pattern (SDP)...
- Preliminary Investigation on Marine Radar Oil Spill Monitoring Method Using YOLO Model
- JOURNAL OF MARINE SCIENCE AND ENGINEERINGLi, Bo Xu, Jin Pan, Xinxiang Chen, Rong Ma, Long Yin, Jianchuan Liao, Zhiqiang Chu, Lilin Zhao, Zhiqiang Lian, Jingjing Wang, Haixia 出版年：2023
- Due to the recent rapid growth of ocean oil development and transportation, the offshore oil spill risk accident probability has increased unevenly. The marine oil spill poses a great threat to the development of coastal...
- Rolling Bearing Fault Diagnosis Under Different Severity Based on Statistics Detection Index and Canonical Discriminant Analysis
- IEEE ACCESSSong, Xuewei Liao, Zhiqiang Jia, Baozhu Kong, Defeng Niu, Jinzhang 出版年：2023
- Bearing failures are the most frequent causes of breakdowns in rotating machinery. Different levels of severity in these failures exhibit distinct fault characteristics in the vibration signal. This paper presents a bear...
- Automatic Bearing Fault Feature Extraction Method via PFDIC and DBAS
- MATHEMATICAL PROBLEMS IN ENGINEERINGLiao, Zhiqiang Song, Xuewei Jia, Baozhu Chen, Peng 出版年：2021
- Determining the embedded dimension of a singular value decomposition Hankel matrix and selecting the singular values representing the intrinsic information of fault features are challenging tasks. Given these issues, thi...
- Optimal Time Frequency Fusion Symmetric Dot Pattern Bearing Fault Feature Enhancement and Diagnosis
- SENSORSLiang, Guanlong Song, Xuewei Liao, Zhiqiang Jia, Baozhu 出版年：2024
- Regarding the difficulty of extracting the acquired fault signal features of bearings from a strong background noise vibration signal, coupled with the fact that one-dimensional (1D) signals provide limited fault informa...
- Bearing Fault Feature Enhancement and Diagnosis Based on Savitzky-Golay Filtering Gramian Angular Field
- IEEE ACCESSHuang, Zhende Song, Xuewei Liao, Zhiqiang Jia, Baozhu 出版年：2024
- In actual engineering production, bearings typically operate in harsh environments. The fault features of bearing vibration signals are often submerged by background noise, making it difficult to extract the fault signal...
- Novel Rotating Machinery Structural Faults Signal Adaptive Multiband Filtering and Automatic Diagnosis
- MATHEMATICAL PROBLEMS IN ENGINEERINGSong, Xuewei Liao, Zhiqiang Wang, Hongfeng Song, Weiwei Chen, Peng 出版年：2021
- To realize an automatic diagnosis of rotating machinery structure faults, this paper presents a novel fault diagnosis model based on adaptive multiband filter and stacked autoencoders (SAEs). First, to solve the problem ...
- Bearing-Fault-Feature Enhancement and Diagnosis Based on Coarse-Grained Lattice Features
- SENSORSLi, Xiaoyu Jia, Baozhu Liao, Zhiqiang Wang, Xin 出版年：2024
- In view of the frequent failures occurring in rolling bearings, the strong background noise present in signals, weak features, and difficulties associated with extracting fault characteristics, a method of enhancing and ...
- Rotating machinery structural faults feature enhancement and diagnosis base on low-pass Teager energy operator intrinsic time-scale decomposition
- MEASUREMENT SCIENCE AND TECHNOLOGYSong, Xuewei Huang, Zhende Liang, Guanlong Niu, Jinzhang Jia, Baozhu Liao, Zhiqiang 出版年：2025
- Aiming to address the issue of the complex and harsh working environment of rotating machinery, the features of vibration signals associated with structural faults are often obscured by noise, resulting in low accuracy i...
- Remaining Useful Life Prediction Method of Offshore Equipment Bearings Based on Convolutional Neural Network-Bidirectional Gated Recurrent Unit-Squeeze and Excitation
- JOURNAL OF NANOELECTRONICS AND OPTOELECTRONICSJin, Yan Xin, Wang Dapeng, Zhang Zhiqiang, Liao Ximing, Wu 出版年：2022
- The remaining useful life forecast (RUL) of rolling bearings, a crucial part of offshore equipment, is one of the most troublesome equipment because it may avoid equipment failure and lessen equipment failure loss. This ...
