Full-Life-Cycle Health Management and Simulation of Power Units

This book presents a comprehensive framework for reliability modeling, health assessment, and life-cycle cost analysis of integrated power systems operating under complex mission profiles. Drawing on methods from reliability engineering, systems engineering, and probabilistic modeling, it introduces a rich set of analytical tools—including grey relational analysis, evidence theory, Monte Carlo simulation, fault tree analysis, Wiener-process-based degradation modeling, GO methodology, and Bayesian fusion—to characterize equipment health states, mission reliability, and long-term maintenance costs. These methods are illustrated with detailed diagrams, simulation workflows, and practical case studies, offering readers both theoretical clarity and operational relevance.

A distinctive feature of the book is its emphasis on linking mission scenarios with component-level degradation mechanisms, enabling realistic prediction of system availability and mission success rates. The integration of multi-source data, mission-driven reliability metrics, and life-cycle cost optimization provides readers with a unified and actionable decision-support framework.

This book will be valuable for researchers and engineers in reliability and systems engineering, military and aerospace equipment analysts, advanced graduate students, and professionals involved in mission planning, equipment design, maintenance decision-making, or life-cycle management.