Diagnostics and Prognostics of Aerospace Engines / Ravi Rajamani.

Format:

Book

Author/Creator:

Rajamani, Ravi, author.

Language:

English

Subjects (All):

Airplanes--Motors--Maintenance and repair.

Airplanes.

Airplanes--Motors--Testing.

Physical Description:

1 online resource (196 pages)

Edition:

First edition.

Place of Publication:

Warrendale, Pa. : Society of Automotive Engineers, [2018]

Summary:

The propulsion system is arguably the most critical part of the aircraft; it certainly is the single most expensive component of the vehicle. Ensuring that engines operate reliably without major maintenance issues is an important goal for all operators, military or commercial. Engine health management (EHM) is a critical piece of this puzzle and has been a part of the engine maintenance for more than five decades. In fact, systematic condition monitoring was introduced for engines before it was applied to other systems on the aircraft.Diagnostics and Prognostics of Aerospace Engines is a collection of technical papers from the archives of SAE International, which introduces the reader to a brief history of EHM, presents some examples of EHM functions, and outlines important future trends.The goal of engine health maintenance is ultimately to reduce the cost of operations by catching problems before they become major issues, by helping reduce repair times through diagnostics, and by facilitating logistic optimization through prognostic estimates.Diagnostics and Prognostics of Aerospace Engines shows that the essence of these goals has not changed over time.

Contents:

Cover

Table of contents

CHAPTER 1 Introduction

Historical Perspective

System Architecture

Hardware

Software and Analytics

Future Trends

Conclusions

Acknowledgments

Abbreviations

References

CHAPTER 2 Aircraft Engine Maintenance

CHAPTER 3 Aircraft Gas Turbine Engine Trend Analysis

FAA Reliability Concept

Considerations

Reliability Yardstick

Propulsion System Reliability Program

Aircraft Systems and Component Reliability

Gas Turbine Trend Analysis

Total Approach

Scientific Approach

Data Sharing

Action

What Parameters to Measure

Recording the Data

Using the Data

Summary

Gas Turbine Trend Analysis-Four Phases of Development

Engine Condition Monitoring Techniques for the Future

Engine Design Considerations

The Feasibility of TBO Control Based on Condition Monitoring

Condition Monitoring as Related to Engine Failures

CHAPTER 4 Maximum Installed Engine Utilization through Disciplined Health Monitoring

Engine Monitoring Problems

"Long-Term Engine Monitoring"

"Short-Term Engine Monitoring"

Swissair Monitoring Concepts and Practical Examples

CHAPTER 5 Modular Engine Maintenance Concept Considerations for Aircraft Turbine Engines

Design Considerations

Failure Modes and Isolation Techniques

Implementation

CHAPTER 6 Developments in Performance Monitoring and Diagnostics in Aircraft Turbine Engines

Data Acquisition

Data Processing

Data Display and Maintenance Information Management

CHAPTER 7 An Overview of Airborne Vibration Monitoring (AVM) Systems

Introduction

The Essential Elements of AVM

Current Use of AVM Systems

Diagnostic Uses of an AVM

References.

CHAPTER 8 Advances in Commercial Engine Lube Debris Monitoring

Wear Debris Monitoring Fundamentals

Application of Debris Monitoring to Flight Engine Maintenance

Quantitative Debris Monitoring (QDM)

QDM vs. Electric Chip Detectors

GE90 QDM System Development, Qualification, and Performance

Conclusion

CHAPTER 9 Very High-Frequency Monitoring System for Engine Gearbox and Generator Health Management

FirstCheck™: Sensor Validation

ImpactEnergy™: Bearing Fault Detection and Isolation

GearMod™: Gear Fault Detection and Isolation

Statistical Analysis and Threshold Setting

Generator VHF Health Management Development

Electrical Fault Simulation

Gearbox VHF Health Management Development

Future Work

Contact

CHAPTER 10 Prognosis and Health Monitoring Systems for Aircraft Engines

System Design

Embedded System

Data Acquisition (OSA-CBM Layer 1)

Data Reduction (OSA-CBM Layer 2)

Data Selection and Trigger

Indicators Creation

Ground System

Normalization (OSA-CBM Layer 2)

Indicators Analysis (OSA-CBM Layer 2)

Anomaly Detection

Trend Analysis

State Detection (OSA-CBM Layer 3)

Cluster Analysis

Health Assessment (OSA-CBM Layer 4)

Prognosis Assessment (OSA-CBM Layer 5)

Advisory Generation (OSA-CBM Layer 6)

Algorithm Quality

Definitions/Abbreviations

CHAPTER 11 Aircraft Integration Challenges and Opportunities for Distributed Intelligent Control, Power, Thermal Management, and Diagnostic and Prognostic Systems

Challenges for Management Systems and Integration

Electrical Power Challenges

Thermal Management Challenges

Engine Control and PHM Challenges

Integration Challenges.

Total Real-Time Vehicle Integration, Optimization, and Control

Hierarchy and Structure

Hierarchical Adaptive Control

Integrated Design of Reconfigurable Fault-Tolerant Control Systems

Distributed Decentralized Control Architectures

Zone-Based Autonomy and Authority

Configurations for Distributed Decentralized Networks

Practical Applications of Distributed Controls

Certification/Qualification

Systematic Propulsion System Optimization

Summary/Conclusions

CHAPTER 12 Improved Engine Health Monitoring Using Full Flight Data and Companion Engine Information

Full Flight Data

Technical Challenges

Companion Engine Data

Cross-Wing Analysis Architecture

Engine Model Normalization

Quasi-Steady-State

FDI Process

Simulation Verification

FOQA Data

Sensor Noise Simulation

Construction of SVM and Kalman Filter

Model Calibration

Engine Nominal Deterioration

Cross-Wing Fault Isolation

Cross-Wing Diagnosis Monte Carlo Simulations

Contact Information

Appendix

CHAPTER 13 Establishment and Application of Aeroengine Lubricating Oil System Model Based on Flight Test Data

Lubricating System Description and Modeling Method Instruction

Lubricating System Description

ANN Modeling Method Instruction

Flight Test Data Instruction

Modeling of Oil Parameters

Analysis and Determination of Main Influencing Parameters on Lubricating Parameters

Model Results of Oil Parameters

Application of Oil Parameter Model

Online Trend Monitoring of Oil Parameters

Determination of Main Influencing Factors on Oil Parameters

About the Author.

Notes:

Description based on publisher supplied metadata and other sources.

Description based on print version record.

ISBN:

0-7680-9308-2

OCLC:

1284938467