广东海洋大学-机构知识库机构智库

结果中检索

检索结果分析

成果/Result

已选条件：

人物=廖志强

排序方式：

共 87 条记录，以下是 1-30

全选清除导出

共3页<< <1 2 3> >>每页显示条目数：

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 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...

A novel approach for adaptively separating and extracting compound fault features of the in-wheel motor bearing: ISA TRANSACTIONSTao, Yukun Ge, Chun Feng, Han Xue, Hongtao Yao, Mingyu Tang, Haihong Liao, Zhiqiang Chen, Peng 出版年：2025; For compound fault detection of in-wheel motor bearings, this paper proposes a novel approach to adaptively separate multi-source signals and extract compound fault features. Building upon blind source separation (BSS), ...

Bearing Remaining Useful Life Prediction Using FNN-based Feature Principal Component and GRNN: 2022 International Conference on Sensing, Measurement and Data Analytics in the Era of Artificial Intelligence, ICSMD 2022 - ProceedingsLiao, Zhiqiang Jia, Baozhu Kong, Defeng Ji, Ran Li, Xiaoyu Hao, Kang 出版年：2022; In the bearing remaining useful life (RUL) prediction, constructing a health indicator to reflect the running bearings health status is one of the most critical parts, because it determines the performance of the RUL pre...

Marine Propulsion Shaft Bearing Fault Feature Extraction and Diagnosis Based on Strong Tracking State Principal Component: 2021 Global Reliability and Prognostics and Health Management, PHM-Nanjing 2021Liao, Zhiqiang Song, Xuewei Jia, Baozhu Zuo, Dunwen Sheng, Yi Chen, Peng 出版年：2021; The vibration signal with non-stationary, strong noise, and weak fault feature is inevitably acquired in practical marine propulsion shaft bearing fault diagnosis due to harsh environment. These obstacles lead to diagnos...

AC Motor Fault Diagnosis Based on Multi-source Signal Fusion SDP: 15th Global Reliability and Prognostics and Health Management Conference, PHM-Beijing 2024Liao, Zhiqiang Liang, Guanlong Song, Xuewei Li, Xiaoyu Huang, Zhende Jia, Baozhu 出版年：2024; In order to solve the problem of the limited ability of a single signal to characterize the fault state of AC motors, this paper proposes an AC motor fault diagnosis method based on multi-source signal fusion SDP (Symmet...

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...

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)...

Fault Feature Extraction and Diagnosis Method for Marine Diesel Engine Based on Time-delay Embedded manifold Learning: 2024 International Conference on Intelligent Ships and Electromechanical System, ICISES 2024Jia, Baozhu Huang, Zhende Liang, Guanlong Song, Xuewei Li, Kai Liao, Zhiqiang 出版年：2024; Aiming to address the issue of high-dimensional nonlinear characteristics in fault data due to the complex structure of marine diesel engines and the variability of their operating conditions, this paper proposes a fault...

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...

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...

Shaft Misalignment Fault Feature Extraction and Diagnosis via MCSA Utilizing Empirical Principal Component Analysis: ICSMD 2024 - 5th International Conference on Sensing, Measurement and Data Analytics in the Era of Artificial IntelligenceLiao, Zhiqiang Huang, Zhende Song, Xuewei Jia, Baozhu Liang, Guanlong Li, Xiaoyu 出版年：2024; The fault features of shaft misalignment in stator currents are often suppressed and masked by interference and noise, leading to weak fault features and affecting the accuracy of fault diagnosis. This paper proposes a f...

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...

基于全息SDP的船舶推进轴系轴承故障诊断研究: 《中国舰船研究》廖志强贾宝柱出版年：2022; [目的]针对船舶推进轴系轴承的故障诊断问题,提出一种基于全息对称点图形(SDP)和相似性识别的可视化诊断方法。[方法]首先,多方位采集轴承振动信号,全面监测轴承发生故障时的规律性冲击在时域和频域中引起的非平稳性变化特征;...; 关键词：船舶推进轴系轴承故障诊断全息对称点图形相似性识别 被引量：7

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...

基于高斯混合和概率神经网络的舰船柴油机故障诊断方法: 《船舶工程》邱其清廖志强出版年：2022; 针对舰船柴油机智能故障诊断中因故障样本不足而导致的诊断模型准确度不高的问题,提出一种基于高斯混合概率神经网络的舰船柴油机不平衡样本故障诊断方法。首先,采用高斯混合模型(GMM)扩充故障样本,改善样本不平衡问题;其次,基于...; 关键词：柴油机故障诊断样本不平衡高斯混合模型概率神经网络 被引量：6

Based on Symplectic Geometry Decomposition Multimodal Symmetric Dot Pattern Marine Diesel Engines Fault Diagnosis Method: 2024 International Conference on Intelligent Ships and Electromechanical System, ICISES 2024Jia, Baozhu Liang, Guanlong Huang, Zhende Niu, Jinzhang Song, Xuewei Liao, Zhiqiang 出版年：2024; Aiming at the problems of complex structure of marine diesel engines, strong background noise in collected signals, and limited fault information in single-dimensional signals, this paper proposes a fault diagnosis metho...

基于加权峭度自适应滤波和对称差分能量谱的船舶推进轴系轴承故障诊断: 《广东海洋大学学报》廖志强宋雪玮贾宝柱尹建川孔德峰出版年：2022; 【目的】滤除振动信号中的背景噪声、增强故障冲击特征,实现船舶推进轴系轴承故障诊断。【方法】提出一种基于加权峭度自适应滤波和对称差分能量谱的信号处理方法:设计加权峭度自适应高通滤波算法,以加权峭度指标作为迭代优选条件,解决...; 关键词：船舶推进轴系轴承故障诊断故障特征提升自适应滤波对称差分能量谱 被引量：4

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 ...

多阶群优进化式教学方法在《自动控制原理》课程中的运用研究: 《创新创业理论研究与实践》廖志强出版年：2022; 为了让学生在有限的学时内掌握扎实的理论基础和将理论应用于工程实际的创新能力,改善学生学习成果参差不齐的现状,该文针对《自动控制原理》课程提出了多阶群优进化式教学方法。面对学生的不同学习能力,聚焦他们之间的差异,以分阶方式...; 关键词：“自动控制原理” 多阶群体进化式教学教学方案优化创新能力 被引量：3

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...

Rotating Machinery Structural Faults Feature Enhancement and Diagnosis Based on Multi-Sensor Information Fusion: MACHINESJia, Baozhu Liang, Guanlong Huang, Zhende Song, Xuewei Liao, Zhiqiang 出版年：2025; To address the challenges posed by the difficulty of extracting fault features from rotating machinery with weak fault features, this paper proposes a rotating machinery structural faults feature enhancement and diagnosi...

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...

基于多源时频特征融合对称点模式的船舶舵机故障诊断: 《船舶工程》廖志强梁观龙刘乔黄振德宋雪玮贾宝柱出版年：2025; [目的]针对船舶舵机结构复杂、故障形式多样且具有隐蔽性、单一信号源无法充分表征舵机系统状态特征等问题,提出一种基于多源时频特征融合对称点模式(SDP)的船舶舵机故障诊断方法。[方法]使用振动和电流信号监测船舶舵机状态,利...; 关键词：舵机故障诊断故障特征增强多源时频特征融合对称点模式改进SE-Res Net18 被引量：1

一种船用感应电机的电磁-机械激励分离实验装置: 《机电工程技术》孔德峰贾宝柱廖志强邓帮林出版年：2023; 为分离船用感应电机振动的电磁和机械激励,设计一种能够有效分离两者的测试系统。该系统在基础平板上安装电机运转及测量相关设备,其与传统电机测试系统的关键区别在于巧妙地分离了电机机座与端盖,并通过大刚度的底板连接。因为端盖远离...; 关键词：感应电机电磁激励机械激励激励分离 被引量：1

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 ...

一种基于多源信息融合的船舶水润滑艉轴承故障诊断方法及系统: 《CN121637255A》纪然孙成琪贾小平赵志强郝康徐进廖志强安连彤毛鸿飞贾宝柱陈瑞出版年：2026; 本发明公开了一种基于多源信息融合的船舶水润滑艉轴承故障诊断方法及系统,方法包括:同步采集船舶水润滑艉轴承在不同健康状态下的多源监测数据;构建一个多模态故障诊断模型,所述多模态故障诊断模型包括:振动信号特征提取子网络、工况...; 关键词：多源信息融合船舶水润滑艉轴承故障诊断水润滑轴承故障诊断多源数据采集预处理步骤同步采集健康状态多源监测数据振动信号径向间隙润滑水状态参数样本对齐训练数据集多模态模型构建故障诊断模型特征提取子网络时序特征工况参数系统状态参数提取特征特征融合模块特征向量 被引量：0

确定船舶交流电机健康指数的方法、装置、介质及设备: 《CN117741429A》宋雪玮甘金海廖志强贾宝柱郝维祯钟整宁侯杰出版年：2024; 本发明提供一种确定船舶交流电机健康指数的方法、装置、介质及设备，方法包括：利用克拉克变换将三相电流信号转换为标准定子电流圆形信号散点图；获取待测交流电机的多个待测三相电流信号，将多个待测三相电流信号转换为对应的待测定子电...; 关键词：健康指数交流电机三相电流信号散点图半径确定定子电流测定子采集神经网络诊断参考标准电机故障电流信号健康状态神经网络准确评估标准差转换电机量化船舶诊断分析 被引量：0

一种样本不平衡的柴油机故障诊断的方法、装置、介质及设备: 《CN119984833A》贾宝柱黄振德廖志强梁观龙宋雪玮蔡仁超严志佳出版年：2025; 本发明公开了一种样本不平衡的柴油机故障诊断的方法，包括：获取柴油机的目标振动信号，其中目标振动信号包括正常状态下的目标振动信号和不同故障状态下的目标振动信号；对目标振动信号进行小波包噪声压缩感知样本增强处理，获得增强后的...; 关键词：样本平衡柴油机故障诊断介质振动信号故障状态小波包噪声压缩感知增强处理信号样本连续小波变换时频边缘检测算法灰度化密度状态构建密度向量阈值待检测信号行比船用柴油机船舶动力系统核心设备航运业扮演角色商船油轮货船 被引量：0

全选清除导出

共3页<< <1 2 3> >>

检索结果分析

成果/Result

成果类型

已选条件：

选择记录

记录数