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題名：機器學習演算法建立船舶主機預兆式健康管理模型
書刊名：陸軍後勤季刊
作者：温慧菱／郭俊良
出版日期：2020
卷期：109:3
頁次：頁56-71
主題關鍵詞：預兆式健康管理；預測性維護；異常偵測；機器學習演算法
原始連結：連回原系統網址new window
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  • 點閱點閱:3
期刊論文
1.Chandola, V.、Banerjee, A.、Kumar, V.(2009)。Anomaly detection: A survey。ACM Computing Surveys，41(3)，11-58。  new window
2.Lee, J.、Wu, F.、Zhao, W.、Ghaffari, M.、Liao, L.、Siegel, D.(2014)。Prognostics and Health Management Design for Rotary Machinery Systems-reviews, Methodology and Applications。Mechanical Systems and Signal Processing，42(1/2)，314-334。  new window
3.Lee, Jay、Kao, Hung-An、Yang, Shanhu(2014)。Service innovation and smart analytics for industry 4.0 and big data environment。Procedia CIRP，16(1)，3-8。  new window
4.Deng, X. Y.、Liu, Q.、Deng, Y.、Mahadevan, S.(2016)。An improved method to construct basic probability assignment based on the confusion matrix for classification problem。Information Sciences，340/341，250-261。  new window
5.Tavner, P. J.、Xiang, J.、Spinato, F.(2007)。Reliability analysis for wind turbines。Wind Energy，10(1)，1-18。  new window
6.Jardine, A. K.、Lin, D.、Banjevic, D.(2006)。A review on machinery diagnostics and prognostics implementing condition-based maintenance。Mechanical Systems and Signal Processing，20(7)，1483-1510。  new window
7.黃道祥、黃健瑋(2018)。船用渦輪增壓系統的性能監視與故障診斷。船舶科技，50，59-65。  延伸查詢new window
8.Rubio, J. A. P.、Vera-García, F.、Grau, J. H.、Cámara, J. M.、Hernandez, D. A.(2018)。Marine diesel engine failure simulator based on thermodynamic model。Applied Thermal Engineering，144(5)，982-995。  new window
9.Lamaris, V.、Hountalas, D.(2010)。A general purpose diagnostic technique for marine diesel engines--Application on the main propulsion and auxiliary diesel units of a marine vessel。Energy conversion and management，51(4)，740-753。  new window
10.Chookah, M.、Nuhi, M.、Modarres, M.(2011)。A probabilistic physics-of-failure model for prognostic health management of structures subject to pitting and corrosion-fatigue。Reliability Engineering & System Safety，96(12)，1601-1610。  new window
11.Guillén, A. J.、Crespo, A.、Macchi, M.、Gómez, J.(2016)。On the role of Prognostics and Health Management in advanced maintenance systems。Production Planning & Control，27(12)，991-1004。  new window
12.郭至恩、沈育霖、曹常成、張純明、高振山、許世希、邱俊憲、陳振和、蔡瑜潔、梁勝富(20180900)。應用於石化業關鍵設備之集成式智慧預知維護系統。勞動及職業安全衛生研究季刊，26(3)，141-150。new window  延伸查詢new window
13.Lee, J.、Ardakani, H. D.、Yang, S.、Bagheri, B.(2015)。Industrial big data analytics and cyber-physical systems for future maintenance & service innovation。Procedia CIRP，38，3-7。  new window
14.Lee, S. M.、Lee, D.、Kim, Y. S.(2019)。The quality management ecosystem for predictive maintenance in the Industry 4.0 era。International Journal of Quality Innovation，5。  new window
15.Yu, W.、Dillon, T. S.、Mostafa, F.、Rahayu, W.、Liu, Y.(2020)。A Global Manufacturing Big Data Ecosystem for Fault Detection in Predictive Maintenance。IEEE Transactions on Industrial Informatics，16(1)，183-192。  new window
16.Qiao, W.、Lu, D.(2015)。A survey on wind turbine condition monitoring and fault diagnosis--Part I: Components and subsystems。IEEE Transactions on Industrial Electronics，62(10)，6536-6545。  new window
17.Creehan, Kevin D.(20050100)。Establishing Optimal Maintenance Practices in a Traditional Manufacturing Environment。工業工程學刊，22(1)，11-18。new window  new window
18.Jin, X.、Sun, Y.、Que, Z.、Wang, Y.、Chow, T. W.(2016)。Anomaly detection and fault prognosis for bearings。IEEE Transactions on Instrumentation and Measurement，65(9)，2046-2054。  new window
19.周東華、魏慕恆、司小勝(2013)。工業過程異常檢測、壽命預測與維修決策的研究進展。自動化學報，39(6)，711-722。  延伸查詢new window
20.趙春宇、馬倫、呂豔軍、呂雷、王友強(2012)。基於狀態維修過程中的故障預測問題分析。計算機與數字工程，40(1)，129-131。  延伸查詢new window
21.馬碩、焦現煒、田柯文、呂世樂、趙陽、鄭善軍(2013)。故障預測技術發展與分類。四川兵工學報，34(2)，92-95。  延伸查詢new window
22.左憲章、康健、李浩、唐力偉(2010)。故障預測技術綜述。火力與指揮控制，35(1)，1-5。  延伸查詢new window
23.Kotsiantis, S. B.、Zaharakis, I.、Pintelas, P.(2007)。Supervised machine learning: A review of classification techniques。Emerging artificial intelligence applications in computer engineering，160，3-24。  new window
24.Bakhshipour, A.、Jafari, A.(2018)。Evaluation of support vector machine and artificial neural networks in weed detection using shape features。Computers and Electronics in Agriculture，145，153-160。  new window
25.Poorinmohammad, N.、Mohabatkar, H.、Behbahani, M.、Biria, D.(2015)。Computational prediction of anti HIV-1 peptides and in vitro evaluation of anti HIV-1 activity of HIV-1 P24-derived peptides。Journal of Peptide Science，21(1)，10-16。  new window
26.Huang, T.、Yang, R.、Huang, W.、Huang, Y.、Qiao, X.(2018)。Detecting sugarcane borer diseases using support vector machine。Information processing in agriculture，5(1)，74-82。  new window
27.Lei, Y.、Jiang, W.、Jiang, A.、Zhu, Y.、Niu, H.、Zhang, S.(2019)。Fault Diagnosis Method for Hydraulic Directional Valves Integrating PCA and XGBoost。Processes，7(9)。  new window
28.Zhang, D.、Qian, L.、Mao, B.、Huang, C.、Huang, B.、Si, Y.(2018)。A data-driven design for fault detection of wind turbines using random forests and Xgboost。IEEE Access，6，21020-21031。  new window
29.Cortes, Corinna、Vapnik, Vladimir N.(1995)。Support-Vector Networks。Machine Learning，20(3)，273-297。  new window
會議論文
1.Chen, T. C.、Guestrin, C.(2016)。Xgboost: A scalable tree boosting system。The 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining，(會議日期: 13-17 August, 2016)。ACM。785-794。  new window
2.Kalgren, P. W.、Byington, C. S.、Roemer, M. J.、Watson, M. J.(2006)。Defining PHM, A Lexical Evolution of Maintenance and Logistics。2006 IEEE AUTOTESTCON。  new window
3.McDonnell, D.、Balfe, N.、Al-Dahidi, S.、O'Donnell, G. E.(2014)。Designing for human-centred decision support systems in PHM。European Conference of the Prognostics and Health Management Society。  new window
4.Wei, M.、Qiu, B.、Jiang, Y.、He, X.(2016)。Multi-sensor monitoring based on-line diesel engine anomaly detection with baseline deviation。The 2016 Prognostics and System Health Management Conference。  new window
5.Sheppard, J. W.、Kaufman, M. A.、Wilmering, T. J.(2008)。IEEE standards for prognostics and health management。2008 IEEE AUTOTESTCON。  new window
6.Nasser, L.、Curtin, M.(2006)。Electronics reliability prognosis through material modeling and simulation。The 2006 IEEE Aerospace Conference。  new window
7.Fujimaki, R.、Yairi, T.、Machida, K.(2005)。An approach to spacecraft anomaly detection problem using kernel feature space。The eleventh ACM SIGKDD international conference on Knowledge discovery in data mining，401-410。  new window
研究報告
1.Kagermann, H.、Helbig, J.、Hellinger, A.、Wahlster, W.(2013)。Recommendations for implementing the strategic initiative INDUSTRIE 4.0: Securing the future of German manufacturing industry; final report of the INDUSTRIE 4.0 Working Group。Forschungsunion。  new window
圖書
1.Han, J.、Kamber, M.、Pei, J.(2011)。Data mining: concepts and techniques。Morgan Kaufmann。  new window
單篇論文
1.Sullivan, G.，Pugh, R.，Melendez, A. P.，Hunt, W.(2010)。Operations & Maintenance Best Practices--A Guide to Achieving Operational Efficiency。  new window
圖書論文
1.(2004)。Performance Based Logistics: DoD 5000.2 Policy Document。Defense Acquisition Guidebook。Department of Defense。  new window
2.Shetty, R. B.(2018)。Predictive Maintenance in the IoT Era。Prognostics and Health Management of Electronics: Fundamentals, Machine Learning, and the Internet of Things。  new window
 
 
 
 
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