Intelligent Remote Monitoring and Maintenance Systems

Intelligent Remote Monitoring and Maintenance Systems

Chengliang Liu (Shanghai Jiao Tong University, China) and Xuan F. Zha (National Institute of Standards and Technology, University of Maryland, USA and Shanghai Jiao Tong University, China)
DOI: 10.4018/978-1-59904-249-7.ch016
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Abstract

Internet-based intelligent fault diagnosis and maintenance technologies are keys for enterprises to achieve global leadership in market competition and manufacturing productivity for business in the 21st century. e-Products, e-Manufacturing and e-Service have been the goals of enterprises: 1) Next generation products must be network-based products—e–products. The vast developments of IT technology based hardware and software make the controller of internet based products cheaper; 2) Common facilities such as internet and World Wide Web, 3G (GPS, GPRS and GIS) make e-maintenance or e-service cheaper and easier; and 3) “Server-web-user” methodology makes e-manufacturing possible, convenient and efficient. To achieve these goals, smart software and NetWare are needed to provide proactive maintenance capabilities such as performance degradation measurement, fault recovery, self-maintenance, and remote diagnostics. This chapter presents methodologies and techniques for the development of an Internet server controller based intelligent remote monitoring and maintenance system. Discussion involves on how to make innovations and develop products and manufacturing systems using internet-based intelligent technologies and how to ensure product quality, coordinate activities, reduce costs and change maintenance practice from the breakdown reaction to prevention. A hybrid intelligent approach using hardware and software agents (watchdog agent) is adopted. The server controller is web-enabled and its core is an embedded network model. The software agent is implemented through a package of Smart Prognostics Algorithms. The package consists of embedded computational prognostic algorithms developed using neural network based, time-series based, wavelet-based and hybrid joint time-frequency methods, etc. and a software toolbox for predicting degradation of devices and systems. The effectiveness of the proposed scheme is verified in a real testbed system

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Table of Contents
Foreword
Cornelius Leondes
Acknowledgments
Chapter 1
Giovanni Acampora, Vincenzo Loia, Michele Nappi, Stefano Ricciardi
Ambient Intelligence gathers best results from three key technologies, Ubiquitous Computing, Ubiquitous Communication, and Intelligent User Friendly... Sample PDF
Human-Based Models for Ambient Intelligence Environments
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Chapter 2
Shu-Chuan Chu, Jeng-Shyang Pan
Processes that simulate natural phenomena have successfully been applied to a number of problems for which no simple mathematical solution is known... Sample PDF
Intelligent Ant Colony System for Traveling Salesman Problem and Clustering
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Chapter 3
Yoshiteru Ishida
Complex network such as scale-free networks and small-world networks have been studied with the dynamics when the information percolates through the... Sample PDF
Information Networks as Complex Systems: A Self-Repair and Regulation Model
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Chapter 4
Yu Tang, Yan-Qing Zhang
This chapter introduces the decision fusion as means of exploring information from distributed medical data. It proposes a new method of applying... Sample PDF
Soft Statistical Decision Fusion for Distributed Medical Data on Grids
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Chapter 5
Masoud Mohammadian, Russel Stonier
In this paper the design and development of hierarchical fuzzy logic systems is investigated using genetic algorithms. This research study is unique... Sample PDF
Designing Layers in Hierarchical Fuzzy Logic Systems Using Genetic Algorithms
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Chapter 6
John Atkinson
This chapter introduces a novel evolutionary model for intelligent text mining. The model deals with issues concerning shallow text representation... Sample PDF
Intelligent Text Mining: Putting Evolutionary Methods and Language Technologies Together
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Chapter 7
André L.V. Coelho, Clodoaldo A.M. Lima, Fernando J. Von Zuben
A probabilistic learning technique, known as gated mixture of experts (MEs), is made more adaptive by employing a customized genetic algorithm based... Sample PDF
An Evolutionary Framework for Nonlinear Time-Series Prediction with Adaptive Gated Mixtures of Experts
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Chapter 8
T. K.K.R. Mediliyegedara, A. K.M. De Silva, D. K. Harrison, J. A. McGeough
This chapter presents the applications of Artificial Intelligence (AI) in the process control of Electro Chemical Discharge Machining (ECDM). The... Sample PDF
Applications of Artificial Intelligence in the Process Control of Electro Chemical Discharge Machining (ECDM)
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Chapter 9
Stephen Karungaru, Minoru Fukumi, Norio Akamatsu
This chapter describes a novel system that can track and recognize faces in real time using neural networks and genetic algorithms. The main feature... Sample PDF
Neural Networks and 3D Edge Genetic Template Matching for Real-Time Face Detection and Recognition
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Chapter 10
Alaa E. Abdel-Hakim, Aly A. Farag
This chapter addresses the problem of combining color and geometric invariants for object description by proposing a novel colored invariant local... Sample PDF
Colored Local Invariant Features for Distinct Object Description in Vision-Based Intelligent Systems
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Chapter 11
Ruth Aguilar-Ponce, Ashok Kumar, J. Luis Tecpanecatl-Xihuitl, Magdy Bayoumi, Mark Radle
The aim of this research was to apply an agent approach to wireless sensor network in order to construct a distributed, automated scene... Sample PDF
Automated Object Detection and Tracking for Intelligent Visual Surveillance Based on Sensor Network
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Chapter 12
Chandimal Jayawardena, Keigo Watanabe, Kiyotaka Izumi
Natural language commands are information rich and conscious because they are generated by intelligent human beings. Therefore, if it is possible to... Sample PDF
Fuzzy Coach-Player Systems for Controlling a Robot Manipulator
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Chapter 13
Ernesto Lopez-Mellado
This chapter deals with the modelling of mobile agent systems evolving within structured environments using a multi-level Petri net based formalism... Sample PDF
Multi-Level Modeling of Multi-Mobile Agent Systems
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Chapter 14
Gary P. Moynihan, Bin Qiao, Matthew E. Elam, Joel Jones
The purpose of this research was to apply an artificial intelligence approach to improve the efficiency of design pattern selection used in the... Sample PDF
Development of an Intelligent Information Systems for Object-Oriented Software Design
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Chapter 15
Leandro Dias da Silva, Elthon Allex da Silva Oliveiro, Hyggo Almeida, Angelo Perkusich
In this chapter a formal agent based approach for the modeling and verification of intelligent information systems using Coloured Petri Nets is... Sample PDF
An Agent Based Formal Approach for Modeling and Verifying Integrated Intelligent Information Systems
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Chapter 16
Chengliang Liu, Xuan F. Zha
Internet-based intelligent fault diagnosis and maintenance technologies are keys for enterprises to achieve global leadership in market competition... Sample PDF
Intelligent Remote Monitoring and Maintenance Systems
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Chapter 17
Xuan F. Zha
In this Chapter, a novel integrated intelligent framework is first proposed for virtual engineering design and development based on the soft... Sample PDF
An Integrated Intelligent System Model and Its Applications in Virtual Product Design and Development
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Chapter 18
Yan Wang
Current CAD systems only support interactive geometry generation, which is not ideal for distributed engineering services in... Sample PDF
Document-Driven Design for Distributed CAD Services
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Chapter 19
Nikos Manouselis, Constantina Costopoulou
Online recommendation services (widely known as recommender systems) can support potential buyers by providing product recommendations that match... Sample PDF
Towards a Design Process for Integrating Product Recommendation Services in E-Markets
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Chapter 20
Nassim Belbaly, Hind Benbya
The objective of this chapter is to provide an analytical tool to assist organizations in their implementations of Intelligent Knowledge Management... Sample PDF
A Stage Model for NPD Process Maturity and IKMS Implementation
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About the Authors