Handbook of Multisensor Data Fusion, 2nd Edition

28

 

 

Data Fusion for Developing Predictive Diagnostics for Electromechanical Systems

 

Carl S. Byington and Amulya K. Garga

CONTENTS

28.1   Introduction

28.1.1   Condition-Based Maintenance Motivation

28.2   Aspects of a Condition-Based Maintenance System

28.3   The Diagnosis Problem

28.3.1   Feature-Level Fusion

28.3.2   Decision-Level Fusion

28.3.2.1   Voting

28.3.2.2   Weighted Decision Fusion

28.3.2.3   Bayesian Inference

28.3.3   Model-Based Development

28.3.3.1   Model-Based Identification and Damage Estimation

28.4   Multisensor Fusion Toolkit

28.5   Application Examples

28.5.1   Mechanical Power Transmission

28.5.1.1   Industrial Gearbox Example

28.5.2   Fluid Systems

28.5.2.1   Lubrication System Function

28.5.2.2   Lubrication System ...