ITexLi | 2017 | ISBN: 9535132040 9535132032 9789535132035 9789535132042 | 335 Pages | PDF | 74 MB
The pioneer studies of such systems are fault diagnosis studies. This book will contribute to the literature in this regard.
Mass production companies have become obliged to reduce their production costs and sell more products with lower profit margins in order to survive in competitive market conditions. The complexity and automation level of machinery are continuously growing. This development calls for some of the most critical issues that are reliability and dependability of automatic systems.
In the future, machines will be monitored remotely, and computer-aided techniques will be employed to detect faults in the future, and also there will be unmanned factories where machines and systems communicate to each other, detect their own faults, and can remotely intercept their faults.
Contents
Preface
1 Fault Detection and Isolation
2 Adaptive Signal Decomposition Methods for Vibration Signals of Rotating Machinery
3 Enhanced Principles in Design of Adaptive Fault Observers
4 An Assessment on the Non-Invasive Methods for Condition Monitoring of Induction Motors
5 Evaluation of Novelty Detection Methods for Condition Monitoring applied to an Electromechanical System
6 Fault Diagnosis and Health Assessment for Rotating Machinery Based on Kernel Density Estimation and Kullback-Leibler Divergence
7 Dynamics-Based Vibration Signal Modeling for Tooth Fault Diagnosis of Planetary Gearboxes
8 Fault-Tolerant Electrical Machines and Drives
9 Fault Detection and Isolation of Nonlinear Systems with Generalized Hamiltonian Representation
10 Process Monitoring Using Data-Based Fault Detection Techniques: Comparative Studies
11 Noninvasive Methods for Condition Monitoring and Electrical Fault Diagnosis of Induction Motors
12 Detection and Analysis of Petroleum Equipment Faults
13 Automated Fault Detection System for Wind Farms
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