Fluctuation Mechanism and Control on System Instantaneous Availability facilitates the development of modeling and identification skills for both theoretical research and applications. Supplying a systematic introduction to the basic results in fluctuation analysis of instantaneous availability, it covers the theory, methodology, and specific engineering implementation required to conduct equipment instantaneous availability research.
Presenting practical methods and tools, the book describes how to control the matching transition of new equipment systems as a result of interactions among sub-systems. It will help readers further extend their research on steady-state availability analysis to the optimization and control over instantaneous availability that is more suitable for engineering practices.
The book provides the in-depth research on system instantaneous availability models, solutions, methodology, and frameworks required to investigate system instantaneous availability fluctuations within a certain range. Its chapters are divided into "Basic" and "Applied" components.
The Basic chapters introduce the relevant concepts about system availability, the general continuous availability model approximate solution algorithms and problems, the discrete-time systems instantaneous availability model under general probability distribution, and the system instantaneous availability model and stability proof constraint by limited time, respectively.
The Applied chapters focus on system instantaneous availability fluctuation analysis and control methods, discrete-time instantaneous availability model comparison and analysis under exponential distribution, system instantaneous availability fluctuations analysis under truncated discrete Weibull distribution, and system instantaneous availability fluctuations optimal design under truncated discrete Weibull distribution.
Presenting the material in an accessible manner, the book summarizes current research results and engineering practices. It includes many examples that illustrate the roles of the new modeling methods for instantaneous availability. It also supplies Matlab® code for all the calculations performed in the book.
Table of Contents
Research Status at Home and Abroad
Main Content and Structure
Concepts Related to System Availability
Basic Knowledge about Reliability
Basic Knowledge about Maintenance and Supportability
Frequently Used Probability Distribution
Concept of Availability
Common Problems with System Instantaneous Availability
Approximate Solution and Its Problem for General Continuous Availability Model
Availability Equation Analysis of Single-Unit System with General Probability Distribution
Approximate Solution of System Instantaneous Availability
Instantaneous Availability Model of Single-Unit Repairable System with Partial Repair Time Negligible
Instantaneous Availability Model of Discrete-Time System under General Probability Distribution
Single-Unit Repairable System under Discrete Time
Single-Unit Repairable System with Repair Delay
Repairable System with Preventive Maintenance Considered
Instantaneous Availability Model of System with Finite Time Restrained and Proof of Its Stability
General Repairable System
Repairable System with Repair Delay
Repairable System with Preventive Maintenance Considered
Repairable System with Complex Structure
Analysis and Control Method for Volatility of System Instantaneous Availability
Volatility Parameters of System Instantaneous Availability
Mechanism Analysis on Volatility of System Instantaneous Availability
Volatility Control of System Instantaneous Availability during Equipment Life Cycle
Comparative Analysis on Discrete-Time Instantaneous Availability Models under Exponential Distribution
Analysis of Errors between Discrete-Time and Continuous-Time Distributions
Comparative Analysis on Analytical Solutions and Numerical Solutions of Continuous-Time Models under Exponential Distribution
Comparison between Analytical Solution of Continuous-Time Equation and Discrete Equation Solution Obtained via Sampling
Comparison between Numerical Solution of Continuous-Time Equation and Discrete-Time Equation Solution under Exponential Distribution
Comparison of Instantaneous Availability Models for Systems with Repair Delay
Comparison of Availability Models for Series Repairable Systems
Comparison of Availability Models for Systems Considering Preventive Maintenance
Parallel System with Two Different Models of Units
Analysis of Instantaneous Availability Fluctuation under Truncated Discrete Weibull Distribution
Weibull Truncated and Discrete Distribution
Analysis of Instantaneous Availability Fluctuation for General Repairable System
Analysis of Instantaneous Availability Fluctuation for Repairable System with Repair Delay
Analysis of Instantaneous Availability Fluctuation for Repairable System with Preventive Maintenance
Optimal Design of Instantaneous Availability Fluctuation under Truncated and Discrete Weibull Distribution
Conclusions and Prospects
Yi Yang earned a PhD at Nanjing University of Science and Technology, Nanjing, China, in 2008. She worked for five years at the Astronaut Research and Training Center, Beijing, China, and was involved in postdoctoral research at the School of Reliability and Systems Engineering, Beihang University (BUAA), Beijing, China, where she is currently an associate professor. She was a visiting scholar at the School of Computing and Mathematics, University of Western Sydney, Parramatta, Australia, for one year. Her main research interests include reliability analysis and design, repairable systems, control science, and engineering. Her recent research work includes instantaneous availability modeling methods, fluctuations analysis, and control.
Yong-Li Yu was born in 1964. He earned a BS at Shijiazhuang Mechanical Engineering College, Shijiazhuang, China, in 1982, and MS and PhD degrees at the College of East China Technology, Nanjing, China, in 1987 and 1990, respectively. Now he is a chair professor with the Maintenance Engineering Institute (MEI), Shijiazhuang, China, and an adjunct professor at Beihang University, Beijing, China. He has developed five courses and has published four books and more than 50 research papers. His main research interests include maintainability engineering and integrated logistics support.
Li-Chao Wang is a senior engineer with the 28th Research Institute of China Electronics Technology Group Corporation, Nanjing, China. He earned his PhD at the School of Automation, Nanjing University of Science and Technology, Nanjing, China, in 2009, and worked as a postdoctoral researcher at the School of Reliability and Systems Engineering, Beihang University, Beijing, China. His research interests are in the areas of system modeling, reliability analysis, performance evaluation, integrated logistics support, and quality control