Skip navigation

DSpace

機構典藏 DSpace 系統致力於保存各式數位資料(如:文字、圖片、PDF)並使其易於取用。

點此認識 DSpace
DSpace logo
English
中文
  • 瀏覽論文
    • 校院系所
    • 出版年
    • 作者
    • 標題
    • 關鍵字
    • 指導教授
  • 搜尋 TDR
  • 授權 Q&A
    • 我的頁面
    • 接受 E-mail 通知
    • 編輯個人資料
  1. NTU Theses and Dissertations Repository
  2. 工學院
  3. 土木工程學系
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/73725
完整後設資料紀錄
DC 欄位值語言
dc.contributor.advisor賴勇成
dc.contributor.authorMeng-Ju Wuen
dc.contributor.author吳孟儒zh_TW
dc.date.accessioned2021-06-17T08:08:50Z-
dc.date.available2029-12-31
dc.date.copyright2019-08-20
dc.date.issued2019
dc.date.submitted2019-08-16
dc.identifier.citationAbiri-Jahromi, A., Fotuhi-Firuzabad, M., & Abbasi, E. (2009). An efficient mixed-integer linear formulation for long-term overhead lines maintenance scheduling in power distribution systems. IEEE transactions on Power Delivery, 24(4), 2043-2053.
Asekun, O. O. (2014). A decision support model to improve rolling stock maintenance scheduling based on reliability and cost. Stellenbosch: Stellenbosch University.
Aven, T., & Dekker, R. (1997). A useful framework for optimal replacement models. Reliability Engineering & System Safety, 58(1), 61-67.
Barlow, R. E., & Hunter, L. C. (1961). Reliability analysis of a one-unit system. Operations research, 9(2), 200-208.
Barlow, R. E., & Proschan, F. (1966). Inequalities for linear combinations of order statistics from restricted families. The Annals of Mathematical Statistics, 37(6), 1574-1592.
Bergman, B. (1980). On the optimality of stationary replacement strategies. Journal of Applied Probability, 17(1), 178-186.
Butler, A. (1988). The evolution of locomotive and rolling stock maintenance schedules. Proceedings of the Institution of Mechanical Engineers, Part D: Transport Engineering, 202(1), 33-43.
Caprara, A., Kroon, L., Monaci, M., Peeters, M., & Toth, P. (2007). Passenger railway optimization. Handbooks in operations research and management science, 14, 129-187.
Carretero, J., Pérez, J. M., Garcı́a-Carballeira, F., Calderón, A., Fernández, J., Garcı́a, J. D., Lozano, A., Cardona, L., Cotaina, N., & Prete, P. (2003). Applying RCM in large scale systems: a case study with railway networks. Reliability Engineering & System Safety, 82(3), 257-273.
Cheng, Y. H. (2010). High-speed rail in Taiwan: New experience and issues for future development. Transport policy, 17(2), 51-63.
Cheng, Y. H., & Yeh, M. S. (2014). A Study of the Risk Management for Taiwan Railway Administration – using EMU500 and E1000 as examples. Feng Chia University, Taiwan.
Do, P., Voisin, A., Levrat, E., & Iung, B. (2015). A proactive condition-based maintenance strategy with both perfect and imperfect maintenance actions. Reliability Engineering & System Safety, 133, 22-32.
Fraser, K., Hvolby, H.-H., & Tseng, T.-L. (2015). Maintenance management models: a study of the published literature to identify empirical evidence: a greater practical focus is needed. International Journal of Quality & Reliability Management, 32(6), 635-664.
Grall, A., Bérenguer, C., & Dieulle, L. (2002). A condition-based maintenance policy for stochastically deteriorating systems. Reliability Engineering & System Safety, 76(2), 167-180.
Herr, N., Nicod, J.-M., Varnier, C., Zerhouni, N., & Malek Cherif, F. (2017). F., Joint optimization of train assignment and predictive maintenance scheduling. Paper presented at the 7th International Conference on railway operations modelling and Analysis (RailLille 2017).
Higgins, A. (1998). Scheduling of railway track maintenance activities and crews. Journal of the Operational Research Society, 49(10), 1026-1033.
Ho, T. K., Chi, Y., Ferreira, L., Leung, K., & Siu, L. (2006). Evaluation of maintenance schedules on railway traction power systems. Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, 220(2), 91-102.
Hong, H.-P., Zhou, W., Zhang, S., & Ye, W. (2014). Optimal condition-based maintenance decisions for systems with dependent stochastic degradation of components. Reliability Engineering & System Safety, 121, 276-288.
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.
Jayabalan, V., & Chaudhuri, D. (1992). Cost optimization of maintenance scheduling for a system with assured reliability. IEEE Transactions on Reliability, 41(1), 21-25.
Kaczor, G., & Szkoda, M. (2016). Application of Fault Tree Analysis for Reliability and Availability Assessment of the Rolling Stock.
Lai, Y. C., Chien, S. C., & Lu, C. L. (2017). Optimal Maintenance Task Generation and Assignment for Rail Infrastructure. Paper presented at the Proceedings of 96th Transportation Research Board, Washington, DC.
Lai, Y. C., Fan, D. C., & Huang, K. L. (2015). Optimizing rolling stock assignment and maintenance plan for passenger railway operations. Computers & Industrial Engineering, 85, 284-295.
Lai, Y. C., Wang, S. W., & Huang, K. L. (2016). Optimized Train-Set Rostering Plan for Taiwan High-Speed Rail. IEEE Transactions on Automation Science and Engineering, 14(1), 286-298.
Lai, Y. C., Xu, R. H., & Yan, T. H. (2018). A Rolling-Horizon Optimization Approach for Catenary Maintenance Identification and Assignment. Paper presented at the Proceedings of 97th Transportation Research Board, Washington, DC.
Li, H., Parikh, D., He, Q., Qian, B., Li, Z., Fang, D., & Hampapur, A. (2014). Improving rail network velocity: A machine learning approach to predictive maintenance. Transportation Research Part C: Emerging Technologies, 45, 17-26. doi:10.1016/j.trc.2014.04.013
Li, J., Lin, B., Wang, Z., Chen, L., & Wang, J. (2016). A pragmatic optimization method for motor train set assignment and maintenance scheduling problem. Discrete Dynamics in Nature and Society, 2016.
Lin, H. C., & Chang, H. L. (2004). Applying Reliability-Centered Maintenance (RCM) for Railway System Maintenance in Taiwan -- An Example of Electric Multiple Unit System of TRTC. National Chiao Tung University, Taiwan.
Ling, Y. K., & Chang, H. L. (2005). Applying Reliability-Centered Maintenance (RCM) Approach to Repair Level Design for Railway Rolling Stocks - An Example of EMU Power Subsystem of TRA. National Chiao Tung University, Taiwan.
Maróti, G., & Kroon, L. (2005). Maintenance routing for train units: the transition model. Transportation Science, 39(4), 518-525.
Maróti, G., & Kroon, L. (2007). Maintenance routing for train units: The interchange model. Computers & Operations Research, 34(4), 1121-1140.
McKone, K. E., & Weiss, E. N. (2002). Guidelines for implementing predictive maintenance. Production and Operations Management, 11(2), 109-124.
Min, L. X., Yong, W. J., Yuan, Y., & Yan, X. W. (2009). Multiobjective optimization of preventive maintenance schedule on traction power system in high-speed railway. Paper presented at the 2009 Annual Reliability and Maintainability Symposium.
Moghaddam, K. S., & Usher, J. S. (2011). Preventive maintenance and replacement scheduling for repairable and maintainable systems using dynamic programming. Computers & Industrial Engineering, 60(4), 654-665.
Nakagawa, T. (1979). Optimum policies when preventive maintenance is imperfect. IEEE Transactions on Reliability, 28(4), 331-332.
Nowlan, F. S., & Heap, H. F. (1978). Reliability-centered maintenance. Retrieved from
Osaki, S., & Nakagawa, T. (1975). A note on age replacement. IEEE Transactions on Reliability, 24(1), 92-94.
Pedregal, D. J., Garcı́a, F. P., & Schmid, F. (2004). RCM2 predictive maintenance of railway systems based on unobserved components models. Reliability Engineering & System Safety, 83(1), 103-110.
Peng, F., & Ouyang, Y. (2012). Track maintenance production team scheduling in railroad networks. Transportation Research Part B: Methodological, 46(10), 1474-1488.
Pham, H. (2003). Handbook of reliability engineering. London: Springer.
Pham, H. (2006). Handbook of reliability engineering: Springer Science & Business Media.
Pintelon, L., Nagarur, N., & Van Puyvelde, F. (1999). Case study: RCM–yes, no or maybe? Journal of Quality in Maintenance Engineering, 5(3), 182-192.
Rausand, M. (1998). Reliability centered maintenance. Reliability Engineering & System Safety, 60(2), 121-132.
Seo, S., Park, C. S., Choi, S., Han, Y., & Kim, K. (2010). Reliability management and assessment for the electric traction system on the Korea High-Speed Train. Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, 224(3), 179-188.
Srikrishna, S., Yadava, G., & Rao, P. (1996). Reliability-centred maintenance applied to power plant auxiliaries. Journal of Quality in Maintenance Engineering, 2(1), 3-14.
Sriskandarajah, C., Jardine, A., & Chan, C. (1998). Maintenance scheduling of rolling stock using a genetic algorithm. Journal of the Operational Research Society, 49(11), 1130-1145.
Su, Z., Núñez, A., Jamshidi, A., Baldi, S., Li, Z., Dollevoet, R., & De Schutter, B. (2015). Model Predictive Control for Maintenance Operations Planning of Railway Infrastructures, Cham.
TRA. (2016). Regulations on the Liability to Passenger for Late Arrival of Train.
Tsang, A. H. (1995). Condition-based maintenance: tools and decision making. Journal of Quality in Maintenance Engineering, 1(3), 3-17.
Vale, C., & Ribeiro, I. M. (2014). Railway condition-based maintenance model with stochastic deterioration. Journal of Civil Engineering and Management, 20(5), 686-692.
Vatn, J. (2007). Railway maintenance optimization–A case study related to utilization of RCM results in the interval optimization process. Risk, Reliability and Social Safety–Aven & Vinnem (eds). Taylor & Francis Group, London.
Veldman, J., Klingenberg, W., & Wortmann, H. (2011). Managing condition-based maintenance technology: A multiple case study in the process industry. Journal of Quality in Maintenance Engineering, 17(1), 40-62.
Wang, Y., Li, Q., Chang, M., Chen, H., & Zang, G. (2012). Research on fault diagnosis expert system based on the neural network and the fault tree technology. Procedia Engineering, 31, 1206-1210.
Xie, M., & Lai, C. D. (1996). Reliability analysis using an additive Weibull model with bathtub-shaped failure rate function. Reliability Engineering & System Safety, 52(1), 87-93.
Yin, H., Wang, K., Qin, Y., Hua, Q., & Jiang, Q. (2017). Reliability analysis of subway vehicles based on the data of operational failures. EURASIP Journal on Wireless Communications and Networking, 2017(1), 212.
Yun, W. Y., Han, Y. J., & Park, G. (2012). Optimal preventive maintenance interval and spare parts number in a rolling stock system. Paper presented at the 2012 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering.
Zhou, X., Xi, L., & Lee, J. (2007). Reliability-centered predictive maintenance scheduling for a continuously monitored system subject to degradation. Reliability Engineering & System Safety, 92(4), 530-534.
Zorita, A., Duque, O., Fernández, M., & García-Escudero, L. (2010). Determination and optimization of the maintenance frequencies in the overhead contact line system. Journal of Transportation Engineering, 136(11), 964-972.
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/73725-
dc.description.abstract軌道車輛是鐵道系統中最昂貴的資產之一,因此,車輛運用效率是實務中追求的重要目標。隨著運輸需求高漲,再加上既有的人力以及資源限制,如何適當進行車輛資產運用,並同時兼顧系統的營運可靠度,為鐵路營運上相當重要的研究課題。實務作業中,營運者在決定時刻表後即需規劃車輛運用路徑,以滿足營運及檢修的需求,並產生車輛調配計畫。目前實務上檢修排程多採用固定時隔的「週期性檢修」策略,所有車輛皆一體適用相同的檢修標準,檢修排程因此無法考量不同車輛的可靠度,包含車輛使用狀態是否影響其調配過程與檢修安排等,且實務操作尚仰賴人工操作,難以達到車輛系統之最佳運用與效率。隨著檢修管理系統的建置,所有元件的檢修歷程均能完整記錄,進而推導出劣化模式,協助營運者建立更好的趨勢分析及預測模式。本研究提出一套最佳化架構,協助營運者以「預測性檢修」策略,以最小化檢修成本、車輛失效所造成的營運損失成本為目標,並考量基於各車輛的劣化模式、人力、檢修容量等資源限制,產生更能充分反映各車輛特性之調配計畫。本研究成果可支援營運者在兼顧車輛可靠度與檢修成本的情況下,研擬合乎車輛特性之較佳車輛調配計畫。zh_TW
dc.description.abstractThe efficiency of trainset utilization is an important objective pursued in practice. Trainset assignment plan including the assignment of utilization paths and maintenance tasks. Previous studies have adopted the fixed periodic maintenance (PM) strategy; however, the difference in the reliability of trainset is not considered. Maintenance planners have to manually adjust utilization and maintenance tasks on the basis of experience. Consequently, this study proposes an optimization process for assigning trainset to utilization paths and maintenance tasks in accordance with the predictive maintenance strategy (PdM) with trainset-specific degradation models. Results of the empirical study demonstrate that the developed process with PdM can assign utilization paths and schedule maintenance tasks to each trainset efficiently and reduce the total cost compared with the PM-only strategy. Adopting this process can help planners improve the efficiency and reliability of trainset utilization.en
dc.description.provenanceMade available in DSpace on 2021-06-17T08:08:50Z (GMT). No. of bitstreams: 1
ntu-108-R06521507-1.pdf: 2614716 bytes, checksum: 6a7bd62b11f976273b688b04614aa04b (MD5)
Previous issue date: 2019
en
dc.description.tableofcontents口試委員審定書 i
致謝 ii
摘要 iii
Abstract iv
Table of Content v
LIST OF FIGURES viii
LIST OF TABLES x
CHAPTER 1 INTRODUCTION 1
1.1 Background 1
1.2 Research Objectives 3
1.3 Contribution Summary 4
1.4 Thesis Organization 6
CHAPTER 2 LITERATURE REVIEW 7
2.1 Maintenance Strategies 7
2.2 Trainset Assignment Problem 16
2.3 Summary of Literature Review 19
CHAPTER 3 Methodology 20
3.1 The Trainset Assignment Process at TRA 20
3.2 Trainset Assignment with Predictive Maintenance Strategies 27
3.2.1 Applying PdM Strategy 29
3.2.2 Development of Trainset-specific Degradation Model 30
3.3 Development of Optimization Model 36
3.3.1 Objective Function 41
3.3.2 Constraints 42
3.4 Development of Rule-based Heuristic Algorithm 46
CHAPTER 4 CASE STUDY 53
4.1 Description of Hsinchu Depot Empirical Case at TRA 53
4.2 Case I: Comparison between Optimization Model and Rule-based Heuristic Algorithm 61
4.3 Case II: Comparison between Plans under Different Maintenance Strategies 62
4.3.1 Case with particular train type (500-only) 62
4.3.2 Case with particular train type (700-only) 64
4.3.3 Consideration of both train types (500 + 700) 65
4.4 Case III: Simulation Case with Consideration of Trainset Failures 68
4.5 Case III: Sensitivity Analysis on Heuristic Algorithm 70
4.5.1 System Analysis under Different Failure Compensation 70
4.6 Summary and Discussion 72
CHAPTER 5 CONCLUSION AND FUTURE WORK 73
5.1 Conclusions 74
5.2 Future Work 76
REFERENCE 78
dc.language.isoen
dc.subject規則式啟發式演算法zh_TW
dc.subject軌道運輸zh_TW
dc.subject預測性檢修zh_TW
dc.subject檢修排程規劃zh_TW
dc.subject車輛調配規劃zh_TW
dc.subject最佳化方法zh_TW
dc.subjectRule-based Heuristic Algorithmen
dc.subjectTrainset Assignmenten
dc.subjectMaintenance Schedulingen
dc.subjectPredictive Maintenanceen
dc.subjectOptimization Methoden
dc.subjectRail Transportationen
dc.title考量車組劣化特性之軌道車輛預測性檢修排程zh_TW
dc.titleDevelopment of Trainset Assignment Model with Predictive Maintenance Strategyen
dc.typeThesis
dc.date.schoolyear107-2
dc.description.degree碩士
dc.contributor.oralexamcommittee宋鴻康,陶治中,黃奎隆
dc.subject.keyword軌道運輸,車輛調配規劃,檢修排程規劃,預測性檢修,最佳化方法,規則式啟發式演算法,zh_TW
dc.subject.keywordRail Transportation,Trainset Assignment,Maintenance Scheduling,Predictive Maintenance,Optimization Method,Rule-based Heuristic Algorithm,en
dc.relation.page85
dc.identifier.doi10.6342/NTU201903241
dc.rights.note有償授權
dc.date.accepted2019-08-17
dc.contributor.author-college工學院zh_TW
dc.contributor.author-dept土木工程學研究所zh_TW
顯示於系所單位:土木工程學系

文件中的檔案:
檔案 大小格式 
ntu-108-1.pdf
  未授權公開取用
2.55 MBAdobe PDF
顯示文件簡單紀錄


系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。

社群連結
聯絡資訊
10617臺北市大安區羅斯福路四段1號
No.1 Sec.4, Roosevelt Rd., Taipei, Taiwan, R.O.C. 106
Tel: (02)33662353
Email: ntuetds@ntu.edu.tw
意見箱
相關連結
館藏目錄
國內圖書館整合查詢 MetaCat
臺大學術典藏 NTU Scholars
臺大圖書館數位典藏館
本站聲明
© NTU Library All Rights Reserved