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研究生: 石祳祥
Reynaldo, Raymond
論文名稱: 在連續製程中兩種不同類型安全連鎖的設計與保養
Design and Maintenance of Two Distinct Types of Safety Interlocks in Continuous Processes
指導教授: 張珏庭
Chang, Chuei-Tin
學位類別: 碩士
Master
系所名稱: 工學院 - 化學工程學系
Department of Chemical Engineering
論文出版年: 2017
畢業學年度: 105
語文別: 英文
論文頁數: 98
外文關鍵詞: Corrective maintenance, Preventive maintenance, Interlock, Warm-standby, Cold-standby, Spare, Genetic algorithm, Non-uniform Interval Inspection Time, Weibull Distribution
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  • An interlock is a feature that makes the states of two mechanisms or functions mutually dependent, and the safety interlocks are needed in almost every continuous chemical plant for mitigating the detrimental effects of hazardous incidents. On the various processing units in a plant, the interlocking systems may be installed to achieve two completely opposite goals, i.e., emergency shutdown (type I) and operation sustaining (type II). Thus, the corresponding configurational features and maintenance policies are determined in this study with two separate optimization codes to minimize the expected total life-cycle expenditures for their respective operational objectives. Specifically, the well-established genetic algorithm (GA) has been adopted to produce two distinct MATLAB codes. Non-uniform inspection intervals are adopted for maintenance of the actuators and warm standbys, while the ages of these components are assumed to follow Weibull distributions.
    For the single-layer type-I interlocks that are used for emergency shutdown, the encoded data in each binary string should be: (1) the number of measurement channels and the corresponding alarm logic, (2) the numbers of online and spare sensors in each channel and the corresponding voting gate, (3) the number of shutdown channels and the corresponding tripping configuration, (4) the numbers of online and standby actuators in each channel and the corresponding activation mechanism, and (5) the inspection schedule of each shutdown channel.
    In order to sustain continuous operation of the critical processes, each type-II interlock is equipped with an online unit, a switch, and one or more warm standby unit. The online unit is usually monitored with a set of known sensors (measurement channels). From the optimum solution, one can obtain the following specifications: (1) the numbers of online and spare sensors in each measurement channel, (2) the inspection schedule of the switch and the number of spares, (3) the inspection schedule of warm standby and the number of its cold standbys.
    Finally, two examples, one for each type, are provided in this thesis to demonstrate the feasibility of the proposed approach.

    TABLE OF CONTENTS ABSTRACT I ACKNOWLEDGEMENT II TABLE OF CONTENTS III LIST OF FIGURES V LIST OF TABLES VI LIST OF ABBREVIATION VII SYMBOL DESCRIPTION VIII Chapter 1 INTRODUCTION 1 1.1. Background 1 1.2. Literature Review 1 1.3. Research objectives 3 1.4. Thesis Framework 3 Chapter 2 BASIC INTERLOCK STRUCTURES 4 2.1. General Structure of a Protected System 4 2.2. Type-I Interlocks 4 2.3. Type-II Interlocks 7 Chapter 3 MAINTENANCE POLICIES OF CRITICAL COMPONENTS 10 3.1. Weibull Distribution 10 3.2. Corrective Maintenance Policies for Detection Subsystems 11 3.3. Preventive Maintenance Policies for Nullifying Subsystems 18 3.3.1. Inspection schedule 18 3.3.2. Preventive maintenance policies with repairs 18 3.3.3. Preventive maintenance policies without repairs 25 Chapter 4 EVALUATION PROCEDURE OF LIFE-CYCLE EXPENDITURE 27 4.1. Type-I Interlocks 27 4.1.1. Enumeration of Possible Scenarios 27 4.1.2. Model Constraints 27 4.1.2.1. Alarm Subsystem 27 4.1.2.2. Shutdown Subsystem 29 4.1.3. Total Expected Life-Cycle Expenditure 30 4.1.3.1. Total Expected Life-Cycle Loss 30 4.1.3.2 Total Expected Life-Cycle Cost of Alarm Subsystem 31 4.1.3.3 Total Expected Life-Cycle Cost of Shutdown Subsystem 32 4.1.4. Example I 32 4.2. Type-II Interlocks 36 4.2.1. Model Constraints 36 4.2.2. Scenario Enumeration 39 4.2.3. Total Expected Life-Cycle Expenditure 45 4.2.3.1. Total Expected Life-Cycle Loss 45 4.2.3.2. Total Expected Life-Cycle Costs 45 4.2.3.2.1. Monitoring System 45 4.2.3.2.2. Switch 46 4.2.3.2.3. Warm Standby 46 4.2.4. Example II 47 4.3. Budget Limits 51 Chapter 5 GENETIC ALGORITHM 52 5.1. Genetic Algorithm 52 5.2. Inspection Schedules 52 5.3. Type-I Interlocks 55 5.3.1. Encoding Scheme 55 5.3.2. Chromosome Generation 57 5.3.3. Fitness Measure 57 5.3.4. Evolution procedure 58 5.3.5. Convergence Criteria 59 5.4. Type-II Interlocks 60 5.4.1. Encoding Scheme 60 5.4.2. Fitness Measure 60 5.4.3. Convergence Criteria 60 Chapter 6 CASE STUDIES 62 6.1. Type-I Interlocks (Refrigeration Case) 62 6.2. Type-II Interlocks (Fan System in a Plant) 66 Chapter 7 CONCLUSIONS AND FUTURE WORKS 74 7.1. Conclusions 74 7.2. Future Works 74 REFERENCES 76 APPENDIX I LEIBNIZ INTEGRAL RULE 78 APPENDIX II BINARY GENETIC ALGORITHM 79 APPENDIX III CORRECTIVE MAINTENANCE CODE 82 APPENDIX IV PREVENTIVE MAINTENANCE CODE 88

    Badia, F. G., Berrade, M. D. and Campos, C. A. (2001). Optimization of inspection intervals based on cost. J. Appl. Probab. 38(4): 872-881.
    Barlow, R. and Hunter, L. (1960). Optimum Preventive Maintenance Policies. Operations Research 8(1): 90-100.
    Bertsche, B. (2008). Reliability in Automotive and Mechanical Engineering, Springer-Verlag Berlin Heidelberg.
    Duarte, J. A. C., Craveiro, J. C. T. A. and Trigo, T. P. (2006). Optimization of the preventive maintenance plan of a series components system. International Journal of Pressure Vessels and Piping 83(4): 244-248.
    Golmakani, H. R. and Moakedi, H. (2012). Optimal non-periodic inspection scheme for a multi-component repairable system using A∗ search algorithm. Computers & Industrial Engineering 63(4): 1038-1047.
    Haupt, R. L. and Haupt, S. E. (2004). Practical Genetic Algorithms, John Wiley & Sons.
    Hellmich, M. and Berg, H.-P. (2015). Markov analysis of redundant standby safety systems under periodic surveillance testing. Reliability Engineering & System Safety 133: 48-58.
    Henley, E. J. and Kumamoto, H. (1985). Designing for Reliability and Safety Control. New Jersey, United States, Prentice Hall.
    Henley, E. J. and Kumamoto, H. (1992). Probabilistic risk assessment : reliability engineering, design, and analysis. New York, IEEE Press.
    Kapur, P. K. and Butani, N. L. (1987). Optimum inspection policies for a computer system with hidden failure. International Journal of Systems Science 18(4): 601-609.
    Lai, C. A., Chang, C. T., Ko, C. L. and Chen, C. L. (2003). Optimal Sensor Placement and Maintenance Strategies for Mass-Flow Networks. Industrial & Engineering Chemistry Research 42(19): 4366-4375.
    Lepar, Y. Y., Wang, Y. C. and Chang, C. T. (2017). Automatic generation of interlock designs using genetic algorithms. Computers & Chemical Engineering 101: 167-192.
    Liang, K. H. and Chang, C. T. (2008). A Simultaneous Optimization Approach To Generate Design Specifications and Maintenance Policies for the Multilayer Protective Systems in Chemical Processes. Industrial & Engineering Chemistry Research 47(15): 5543-5555.
    Liao, Y. C. and Chang, C. T. (2010). Design and Maintenance of Multichannel Protective Systems. Industrial & Engineering Chemistry Research 49(22): 11421-11433.
    Liptak, B. G. (1987). Optimization of Unit Operations. Pennsylvania, US, Chilton Book Company.
    Nakagawa, T. (1977). A 2-Unit Repairable Redundant System with Switching Failure. IEEE Transactions on Reliability R-26(2): 128-130.
    Nakagawa, T. and Osaki, S. (1974). Stochastic behavior of a two-dissimilar-unit standby redundant system with repair maintenance. Microelectronics Reliability 13(2): 143-IN148.
    Okasha N.M., Frangopol D.M. (2009). Lifetime-oriented multi-objective optimization of structural maintenance considering system reliability, redundancy and life-cycle cost using GA. Structural Safety 31: 460-74.
    Raje, D. V., Olaniya, R. S., Wakhare, P. D. and Deshpande, A. W. (2000). Availability assessment of a two-unit stand-by pumping system. Reliability Engineering & System Safety 68(3): 269-274.
    Sarkar, J. and Sarkar, S. (2000). Availability of a periodically inspected system under perfect repair. Journal of Statistical Planning and Inference 91(1): 77-90.
    Sasaki, M., Kaburaki, S. and Yanagi, S. (1977). System Availability and Optimum Spare Units. IEEE Transactions on Reliability R-26(3): 182-188.
    Tsai, C. S. and Chang, C. T. (1996). A statistics based approach to enhancing safety and reliability of the batch-reactor charging operation. Computers & Chemical Engineering 20: S647-S652.
    Tsai, C. S., Chang, C. T., Yu, S. W. and Kao, C. S. (2000). Robust alarm generation strategy. Computers & Chemical Engineering 24(2-7): 743-748.
    Vaurio, J. K. (1999). Availability and cost functions for periodically inspected preventively maintained units. Reliability Engineering & System Safety 63(2): 133-140.
    Wibisono, E., Adi, V. S. K. and Chang, C. T. (2014). Model Based Approach To Identify Optimal System Structures and Maintenance Policies for Safety Interlocks with Time-Varying Failure Rates. Industrial & Engineering Chemistry Research 53(11): 4398-4412.
    Wu, Q. and Wu, S. (2011). Reliability analysis of two-unit cold standby repairable systems under Poisson shocks. Applied Mathematics and Computation 218(1): 171-182.
    Yun, W. Y. and Cha, J. H. (2010). Optimal design of a general warm standby system. Reliability Engineering & System Safety 95(8): 880-886.
    Zhong, C. and Jin, H. (2014). A novel optimal preventive maintenance policy for a cold standby system based on semi-Markov theory. European Journal of Operational Research 232(2): 405-411.

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