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System Test and Diagnosis


Authors, William R. Simpson and John W. Sheppard

Kluwer Academic Publishers, Boston, 1994



System Test and Diagnosis is the first book on test and diagnosis at the system level. System level is defined as any aggregation of related elements that together form an entity of sufficient complexity for which it is impractical to treat all of the elements at the lowest level of detail. The ideas presented emphasize that it is possible to diagnose complex systems efficiently. Since the notion of system is hierarchical, these ideas are applicable to all levels.

The philosophy of diagnosis is presented in the context of a model-based approach. The authors use the information flow model, a model that focuses on the information provided by the tests rather than the functions embedded in the system. Detailed algorithms are offered for evaluating system testability, performing efficient diagnosis, verifying and validating the models, and constructing an architecture for system maintenance. There is considerable discussion of several advanced algorithms not commonly available in existing diagnosis tools, including reasoning with inexact or uncertain test data, breaking large problems into manageable smaller problems, diagnosing systems with time-sensitive information and time-dependent tests, and learning from experience.

System Test and Diagnosis has three parts: The first part provides motivation for careful development of the subject; the second part provides the tools necessary for analyzing system testability and computing diagnostic strategies; and the third part presents advanced topics in diagnosis.

Several case studies are provided, including a single detailed case study. Smaller case studies describe experiences from actual applications of the methods discussed. The detailed case study walks the reader through a complete analysis of a system to illustrate the concepts and describe the analyses that are possible. All case studies are based upon real systems that have been modeled for the purposes of diagnosis.

System Test and Diagnosis is the culmination of nearly twelve years of research into diagnosis modeling and its applications. It is designed as a primary reference for engineers and practitioners interested in system test and diagnosis.

Contents

Part One: Motivation

Chapter 1: Introduction

Chapter 2: Maintainability: A Historical Perspective

  • Goals of System Maintainability
  • The Evolution of System Maintainability
  • Elements of Maintainability Programs
  • Measures of Maintainability
  • Achieving Improved Maintainability
  • CASE STUDY: Maintainability
  • Chapter 3: Field Diagnosis and Repair: The Problem

  • System Complexity
  • Objectives of Integrated Diagnostics
  • Objectives of Concurrent Engineering
  • CASE STUDY: System Self-Test
  • Part Two: Analysis and Application

    Chapter 4: Bottom-Up Modeling for Diagnosis

  • Modeling Component Failure Modes
  • Generating Digital Test Patterns
  • Fault Matrices and Fault Dictionaries
  • Developing Test Strategies Using a Bottom-Up Approach
  • Summary
  • CASE STUDY: Testability Prediction
  • Chapter 5: System Level Analysis for Diagnosis

  • Elements of Hierarchical Diagnosis
  • Top-Down Analysis for Functional Testing
  • Diagnosis as Information Fusion
  • Diagnosis as Constraint Satisfaction
  • CASE STUDY: Operational Readiness
  • Chapter 6: The Information Flow Model

  • Model Primitives
  • Notions of Diagnostic Inference
  • Test Paradigms
  • Hierarchical Representations
  • Model Processing
  • CASE STUDY: Modeling
  • Chapter 7: System Level Diagnosis

  • Fault Isolation Theory
  • Inference Using the Matrix Representation
  • Developing Fault Isolation Strategies
  • Comparison of Methods
  • Multicriterion Optimization
  • Optimized Fault Isolation: The First Step
  • Diagnosis in an Operational Environment
  • Diagnosis in the Shop Environment
  • Special Conditions for Fault Isolation
  • CASE STUDY: Reliability-Maintainability Feedback
  • Chapter 8: Evaluating System Diagnosability

  • Terminology
  • Testability Measures
  • Assessing Testability
  • Specifying Additional Tests
  • Eliminating Excess Tests
  • Other Issues
  • Alternative Approaches
  • Extending the Use of Testability Analysis
  • CASE STUDY: Testability Deficiencies
  • Chapter 9: Verification and Validation

  • Assumptions and Definitions
  • Verification Process Overview
  • Test Verification
  • Constrained Test Verification
  • Model Verification
  • Inference Verification
  • Strategy Verification
  • Conclusion
  • CASE STUDY: The Need for Verification
  • Chapter 10: Architectures for System Diagnosis

  • Field Maintenance
  • Embedded Diagnostics
  • Automatic Testing
  • CASE STUDY: A 1½ Level Maintenance Architecture
  • Part Three: Advanced Topics

    Chapter 11: Inexact Diagnosis

  • Fuzzy Logic
  • Dempster-Shafer Evidential Reasoning
  • Neural Networks
  • A Simple Example
  • Summary
  • Chapter 12: Partitioning Large Problems

  • Articulation Point Partitioning
  • Logical Cut Point Partitioning
  • Direct Matrix Partitioning
  • Summary
  • Chapter 13: Modeling Temporal Information

  • Point-Based vs. Interval-Based Representations of Time
  • Representing Endpoint Relations with Inequalities
  • Binary Relations on Time Intervals
  • Constraint Propagation on Temporal Intervals
  • Representing Temporal Relations with Propositional Logic
  • Constraint Propagation of Binary Signatures
  • Applications of the Temporal Model
  • Summary
  • Chapter 14: Adaptive Diagnosis

  • Parameter Adjustment Learning
  • Explanation-Based Learning
  • Simulation-Based Learning
  • Summary
  • Chapter 15: Diagnosis--Art versus Science

  • Modeling Pitfalls
  • Comparing Tools that Use Diagnostic Models
  • Summary
  • References

    Index


    For more information, contact:
    Kluwer Academic Publishers
    P.O. Box 358/Accord Station
    Hingham, MA 02018-0358
    kluwer@world.std.com
    617-871-6528
    Fax: 617-871-6528
    © 1999 ARINC Incorporated
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