Diagnostics and Prognostics of Engineering Systems Methods and Techniques 1st Edition by Seifedine Kadry ISBN 1466620951 978-1466620957

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Product details: 

ISBN 10:1466620951

ISBN 13:978-1466620957

Author:Seifedine Kadry

Industrial Prognostics predicts an industrial system’s lifespan using probability measurements to determine the way a machine operates. Prognostics are essential in determining being able to predict and stop failures before they occur. Therefore the development of dependable prognostic procedures for engineering systems is important to increase the system’s performance and reliability. Diagnostics and Prognostics of Engineering Systems: Methods and Techniques provides widespread coverage and discussions on the methods and techniques of diagnosis and prognosis systems. Including practical examples to display the method’s effectiveness in real-world applications as well as the latest trends and research, this reference source aims to introduce fundamental theory and practice for system diagnosis and prognosis.

Table of contents: 

Section 2
Intelligent System Monitoring

Section 3
Principles of Classification
Generating Indicators for Diagnosis of Fault Levels by Integrating Information from Two or More Sensors
Fault Detection and Isolation for Switching Systems using a ParameterFree Method

Section 4
Data Driven Prognostics for Rotating Machinery

Section 5
Identifying Suitable Degradation Parameters for IndividualBased Prognostics
Modeling MultiState Equipment Degradation with NonHomogeneous ContinuousTime Hidden SemiMarkov Process
Stochastic Fatigue of a Mechanical System Using Random Transformation Technique
Degradation Based Condition Classification and Prediction in Rotating Machinery Prognostics

Section 6
A Temporal Probabilistic Approach for Continuous Tool Condition Monitoring

Section 7
Combining Health Monitoring and Control

Section 8
A Particle Filtering Based Approach for Gear Prognostics

Section 9
Supporting Business Cases for PHM

Section 10
Remote Fault Diagnosis System for Marine Power Machinery System

Section 11
Prognostics and Health Management of Choke Valves Subject to Erosion

Section 12
Prognostics and Health Management of Industrial Equipment

Section 13
Structure Reliability and Response Prognostics under Uncertainty Using Bayesian Analysis and Analytical Approximations
Fatigue Damage Prognostics and Life Prediction with Dynamic Response Reconstruction Using Indirect Sensor Measurements

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Tags: Seifedine Kadry, Diagnostics, Prognostics