Goodman D. Prognostics and Health Management 2019 torrent

Textbook in PDF format

Prognostics and Health Management provides an authoritative guide for an understanding of the rationale and methodologies of a practical approach for improving system reliability using conditioned-based data (CBD) to the monitoring and management of health of systems. This proven approach uses electronic signatures extracted from conditioned-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. Written by noted experts in the field, Prognostics and Health Management clearly describes how to extract signatures from conditioned-based data using conditioning methods such as data fusion and transformation, domain transformation, data type transformation and indirect and differential comparison. Written 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.
Introduction to Prognostics
Approaches for Prognosis and Health Management/Monitoring (PHM)
Failure Progression Signatures
Heuristic-Based Approach to Modeling CBD Signatures
Non-Ideal Data: Effects and Conditioning
Design: Robust Prototype of an Exemplary PHM System
Prognostic Enabling: Selection, Evaluation, and Other Considerations