Prognostics and Health Management

PROGNOSTICS AND HEALTH MANAGEMENTA Practical Approach to Improving System Reliability Using Condition-Based DataA comprehensive guide to the application and processing of condition-based data to produce prognostic estimates of functional health and lifePrognostics and Health Management provides an authoritative guide for an understanding of the rationale and methodologies of a practical approach for improving system reliability using condition-based data (CBD) to the monitoring and management of health of systems. This proven approach uses electronic signatures extracted from condition-based electrical signals, including those representing physical components, and employs processing methods that include data fusion and transformation, domain transformation, and normalization, canonicalization and signal-level translation to support the determination of predictive diagnostics and prognostics.This important resource:* Integrates data collecting, mathematical modelling and reliability prediction in one volume* Contains numerical examples and problems with solutions that help with an understanding of the algorithmic elements and processes* Presents information from a panel of experts on the topic* Follows prognostics based on statistical modelling, reliability modelling and usage modelling methodsWritten for system engineers working in critical process industries and automotive and aerospace designers, Prognostics and Health Management offers a guide to the application of condition-based data to produce signatures for input to predictive algorithms to produce prognostic estimates of functional health and life.