基本信息

姓 名： 廖志強

職 稱： 副教授

性 别： 男

出生年月： 19880701

所在學科： 船舶與海洋工程、交通運輸

博士導師： 否

碩士導師： 是

Email： zhiqiangliao@126.com

個人簡介

廖志強，工學博士，日本三重大學優秀博士畢業生，研究方向為設備狀态監測與故障診斷。在國内外學術期刊和會議發表論文50餘篇，其中SCI檢索30餘篇。申請發明專利13項，軟件著作權5項，主持、參加國家自然科學基金項目3項、參與廣東省自然科學基金項目2項，主持國家重點實驗室開放基金1項。獲得中國商業聯合會科技進步一等獎1次、日本設備管理論文優秀賞2次。“International Journal of Comprehensive Engineering”期刊編委、“中國艦船研究”期刊青年編委。Mechanical Systems and Signal Processing, IEEE Transactions on Industrial Informatics, Ocean Engineering, Measurement, Applied Acoustics, Sensors, Knowledge-Based Systems, ISA Transactions, Reliability Engineering & System Safety, IEEE Access, Expert Systems With Applications, Measurement Science and Technology, Ain Shams Engineering Journal, Scientific Reports, Journal of Vibration and Control, Electrical Engineering, Engineering Research Express, Engineering Failure Analysis等國内外期刊審稿人。

工作經曆：

2024.01~至今          太阳集团app首页                     副教授

2020.12~2023.12       太阳集团app首页                      講師

2019.11~2023.04    日本國立三重大學                  非常勤研究員

2014.04~2016.07    國家光伏産業計量測試中心          光伏計量工程師

2013.07~2014.04    中航八院上海神舟電力有限公司      電氣工程師

獲獎情況：

1. 中國商業聯合會科技進步一等獎，2022，排名3

2. 日本設備管理學會論文優秀賞，2022 (2次)

研究方向：船舶動力設備狀态監測與故障診斷、船舶智能運維、智能信号處理

近五年代表性科研成果（論文、專利、專著等）

論文：

[1]. Zhiqiang Liao, Xuewei Song, Hongfeng Wang, Weiwei Song, Baozhu Jia, Peng Chen. Bearing Fault Diagnosis Using Reconstruction Adaptive Determinate Stationary Subspace Filtering and Enhanced Third-order Spectrum [J]. IEEE Sensors Journal, 2022, 21(8), 10764-10773

[2]. 廖志強, 賈寶柱. 基于全息SDP的船舶推進軸系軸承故障診斷研究 [J]. 中國艦船研究, 2022, 17(6): 88-95

[3]. 廖志強，宋雪玮，賈寶柱，尹建川，孔德峰. 基于加權峭度自适應濾波和對稱差分能量譜的船舶推進軸系軸承故障診斷 [J]. 太阳集团app首页學報，2022，42(6): 130-136

[4]. Zhiqiang Liao,Baozhu Jia,Defeng Kong,Ran Ji,Xiaoyu Li,Kang Hao. Bearing Remaining Useful Life Prediction Using FNN-based Feature Principal Component and GRNN [C], 2022 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD), 1-6.

[5]. Zhiqiang Liao, Xuewei Song, Baozhu Jia, Peng Chen. Bearing Fault Feature Enhancement and Diagnosis based on Statistical Filtering and 1.5-dimensional Symmetric Difference Analytic Energy Spectrum [J], IEEE Sensors Journal, 2021, 21(8): 9959-9968.

[6]. Zhiqiang Liao, Jia Baozhu. Research on Feature Enhancement in Low-speed Bearing Fault Based on Symmetric Difference Analytic Energy Operator [J]. International Journal of Comprehensive Engineering, 2021, 10(1), 10-20.

[7]. Zhiqiang Liao, Xuewei Song, Baozhu Jia, Dunwen Zuo,Yi Sheng, Peng Chen. Marine Propulsion Shaft Bearing Fault Feature Extraction and Diagnosis Based on Strong Tracking State Principal Component [C]. 2021 Global Reliability and Prognostics and Health Management (PHM-Nanjing), 2021, 1-7

[8]. Zhiqiang Liao, Xuewei Song, Baozhu Jia, Peng Chen. Automatic Bearing Fault Feature Extraction Method via PFDIC and DBAS [J]. Mathematical Problems in Engineering, 2021, 2021.

[9]. Zhiqiang Liao, Liuyang Song, Peng Chen, Zhaoyi Guan, Ziye Fang, Ke Li. An Effective Singular Value Selection and Bearing Fault Signal Filtering Diagnosis Method Based on False Nearest Neighbors and Statistical Information Criteria [J]. Sensors, 2018, 18(7), 2235-2256

[10]. Zhiqiang Liao, Peng Chen. A Vibration Signal Filtering Method Based on KL Divergence Genetic Algorithm —with Application to Low Speed Bearing Fault Diagnosis [C]. 2018 IEEE 23rd International Conference on Digital Signal Processing (DSP), 1-5, Shanghai, P.R. China, 2018.11.19-11.21

[11]. Zhiqiang Liao, Taifu Li, Peng Chen, Shilun Zuo. A Multi-Objective Robust Optimization Scheme for Reducing Optimization Performance Deterioration Caused by Fluctuation of Decision Parameters in Chemical Processes [J]. Computers & Chemical Engineering, 2018, 119, 1-12

[12]. Zhiqiang Liao, Haihong Tang, Shuuji Miyazaki, Daisuke Matsuo, Yuji Yonekura, Ho Jinyama. An automatic bearing fault signal filtering and diagnosis method based on empirical mode decomposition and C0 complexity [C]. Japan Mechanical Society, The 17th symposium on evaluation and diagnosis, Tsukuba, Japan, 2018. 11, 86-90

[13]. 廖 志強、左 時倫、宋 瀏陽、関 照議、陳山 鵬. ショートタイムFFT、周波數領域の特徴パラメータおよび正準判別分析法による軸受複合異常診斷法 [J]、日本設備管理學會誌、第２９巻、第２号、pp.50-57, 2017.

[14]. Zhiqiang Liao, Liuyang Song, Peng Chen, Shilun Zuo. An Automatic Filtering Method Based on an Improved Genetic Algorithm—With Application to Rolling Bearing Fault Signal Extraction [J]. IEEE Sensors Journal, 2017, 17(19), 6340-6349

[15]. Zhiqiang Liao, Zhaoyi Guan, Shilun Zuo, Peng Chen. Bearing compound fault diagnosis based on transient impulse extraction and kernel principal component analysis [J]. International journal of comprehensive engineering, 2016, 5(1), 20-30

[16]. Shilun Zuo, Zhiqiang Liao*, Zhaoyi Guan and Peng Chen. Rolling Bearing Fault Diagnosis Based on Robust Principal Component Analysis Filtering and Envelope Spectrum Analysis. International journal of comprehensive engineering, 2016, 5(1), 31-40

[17]. Zhaoyi Guan, Zhiqiang Liao*, Ke Li, Peng Chen. A precise diagnosis method of structural faults of rotating machinery based on combination of empirical mode decomposition, sample entropy and deep belief network. Sensors. 2019, 19(3), 591-609

[18]. Taifu Li, Zhiqiang Liao*. Robust optimization of industrial process operation parameters based on data-driven model and parameter fluctuation analysis. Mathematical problems in engineering, 2019, 2019(1), 1-9

[19]. Haihong Tang，Zhiqiang Liao*，Peng Chen，Dunwen Zuo，Sheng Yi. A Novel Convolutional Neural Network for Low-speed Structural Fault Diagnosis under Different Operating Condition and Its Understanding via Visualization. IEEE Transactions on Instrumentation and Measurement, 2020, 17(1), 21-34

[20]. Shilun Zuo, Zhiqiang Liao*. Bearing Fault Dominant Symptom Parameters Selection Based on Canonical Discriminant Analysis and False Nearest Neighbor Using GA Filtering Signal, Mathematical Problems in Engineering, 2020, 13, 1-13

[21]. Haihong Tang, Zhiqiang Liao*, Ozaki Yayoi, Peng Chen. Stepwise Intelligent Diagnosis Method for Rotor System with Sliding Bearing Based on Statistical Filter and Stacked Auto-Encoder. Applied Sciences, 2020, 10(7), 2477

[22]. Xuewei Song, Zhiqiang Liao*, Hongfeng Wang, Peng Chen. Incrementally accumulated holographic SDP characteristic fusion method in ship propulsion shafting bearing fault diagnosis. Measurement Science and Technology, 2021.

[23]. Xuewei Song, Zhiqiang Liao*, Peng Chen. Novel Rotating Machinery Structural Faults Signal Adaptive Multi-Band Filtering and Automatic Diagnosis. Mathematical Problems in Engineering, 2021, 2021.

[24].  邱其清, 廖志強*. 基于高斯混合和概率神經網絡的艦船柴油機故障診斷方法[J]. 船舶工程, 2022

[25].  Xuewei Song, Zhiqiang Liao*,Baozhu Jia,Defeng Kong,Jinzhang Niu, Rolling Bearing Fault Diagnosis Under Different Severity Based on Statistics Detection Index and Canonical Discriminant Analysis. IEEE Access, 2023, 11: 86686-86696

[26].  Miyazaki Shuuji, Zhiqiang Liao*, Peng Chen. A Transient Fault-signal Extraction Scheme for Bearing Compound Fault Intelligent Diagnosis based on Vibration Signals. WSEAS Transactions on Systems, 2023, 2023(22): 734-744.

[27]. Zekun Wang, Zifei Xu, Chang Cai, Xiaodong Wang, Jianzhong Xu, Kezhong Shi, Xiaohui Zhong, Zhiqiang Liao*, Qing 'an Li, Rolling bearing fault diagnosis method using time-frequency information integration and multi-scale TransFusion network, Knowledge-Based Systems, 2024, 284: 11344-11364.

專利：

[1]. 廖志強，王鑫，宋雪玮，賈寶柱，孔德峰，李笑宇. 一種在随機沖擊幹擾下的故障診斷方法及系統 [P] 中國，ZL2023 1 0970350.X

[2]. 廖志強，宋雪玮，賈寶柱，孔德峰. 一種故障診斷方法、裝置、介質及設備 [P] 中國，ZL 2023 1 0024797.8

[3]. 廖志強，宋雪玮，賈寶柱，尹建川，徐進，紀然. 一種滾動軸承故障診斷的方法、裝置、介質及計算機設備 [P] 中國，ZL 2021 1 0175492.8

[4]. 廖志強，肖磊，許奎，馬傑，齊巍巍，郝美玭，陳實，李太福，一種基于模糊智能行為模拟的家居環境健康控制方法，2013.10.09，中國，ZL201310220199.4

科研項目

1.        國家自然科學基金青年科學基金項目，52201355， 基于特征諧波定向解耦的吊艙式船用永磁同步推進電機故障診斷研究，2023/01–2025/12，30萬，在研，主持

2.        複雜系統智能控制與決策國家重點實驗室開放基金，基于多源異構數據融合的船舶動力系統故障溯源，5萬，2023.01-2024.12，在研，主持

3.        湛江市非資助科技攻關計劃項目，基于多源信息深度融合的船舶液壓舵機智能故障診斷研究，2022B01049，2022.7-2024.6，在研，主持

4.        太阳集团app首页教育教學改革項目，數字孿生平台輔助沉浸式教學在《輪機故障診斷》課程中的應用研究，PX-972023229，2023.10-2025.09，在研，主持

5.        國家自然科學基金面上項目，62272109，面向無人船自主決策的複雜物理信息感知與混合驅動智能計算方法，2023/01–2026/12，54萬，在研，參與

6.        國家自然科學基金面上項目，52271361，不确定時空信息驅動的海上船舶氣象導航方法研究，2023/01–2025/12，54萬，在研，參與