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基于非线性模型的离心式冷水机组故障检测诊断方法研究

摘要第5-7页
ABSTRACT第7-10页
NOMENCALTURE第18-21页
CHAPTER 1 INTRODUCTION第21-39页
    1.1 Motivations第21-23页
    1.2 Literature review第23-35页
        1.2.1 Model-based methods第25-27页
        1.2.2 Data-driven methods第27-30页
        1.2.3 Backgrounds of chiller FDD methods第30-35页
    1.3 Aim and purposes第35-37页
    1.4 Organization of this thesis第37-39页
CHAPTER 2 THE OVERVIEW OF BASIC CHILLER FDD METHOD第39-50页
    2.1 Descriptions of centrifugal chiller system第39-44页
        2.1.1 Basic refrigeration cycle第39-41页
        2.1.2 System mechanism第41-44页
    2.2 Online FDD strategy for chiller第44-48页
        2.2.1 Exponentially Weighted Moving Average residuals for online fault detection第44-46页
        2.2.2 Implementation structure of online FDD strategy第46-48页
    2.3 The experiment centrifugal chiller data of ASHRAE 1043-RP第48-50页
CHAPTER 3 AN ONLINE FDD STRATEGY FOR CENTRIFUGAL CHILLER SYSTEMS BASED ON RADIAL BASIS FUNCTION第50-71页
    3.1 Motivations for development of online chiller FDD strategy based on radial basis function第50-51页
    3.2 Feature parameters and FDD rule set第51-54页
    3.3 Reference models of feature parameters第54-55页
    3.4 Tests and comparisons第55-66页
        3.4.1 Development of reference models第56-58页
        3.4.2 Fault detection and diagnosis results第58页
        3.4.3 Normal conditions (Fault-free cases)第58-60页
        3.4.4 Fault detection and diagnosis第60-66页
    3.5 Validation of FDD strategy using office building chiller system第66-69页
        3.5.1 Chiller system第66页
        3.5.2 Validation of reference model第66-67页
        3.5.3 Fault detection and diagnosis using operating data第67-69页
    3.6 Conclusions第69-71页
CHAPTER 4 COMPARATIVE INVESTIGATIONS ON REFERENCE MODELS FOR FAULT DETECTION AND DIAGNOSIS IN CENTRIFUGAL Chiller SYSTEMS第71-100页
    4.1 Related works第71-73页
    4.2 Reference models第73-77页
        4.2.1 Multiple linear regression model (MLR)第73-74页
        4.2.2 Kriging model第74-75页
        4.2.3 Radial basis function model第75-77页
    4.3 FDD strategy for chillers第77-81页
        4.3.1 Experimental data第77-78页
        4.3.2 The sensitivity for fault diagnosis rules第78-81页
    4.4 Tests and comparisons第81-98页
        4.4.1 Development of the reference models第81-84页
        4.4.2 Fault detection and diagnosis results第84-96页
        4.4.3 Comparison between two detection methods: EWMA method and t-statistic based method第96-98页
    4.5 Conclusions第98-100页
CHAPTER 5 AN ENHANCED CHILLER FDD STRATEGY BASED ON DE-LSSVR METHOD COMBINED WITH EWMA第100-125页
    5.1 Introduction第100-103页
    5.2 The LSSVR chiller model based on the differential evolution method第103-111页
        5.2.1 LSSVR basic theory第103-105页
        5.2.2 Differential Evolution (DE)第105-108页
        5.2.3 LS-SVR parameters optimization based on DE第108-111页
    5.3 Validation of the FDD method第111-123页
        5.3.1 Development of reference models第112-114页
        5.3.2 Fault detection and diagnosis results第114-115页
        5.3.3 Normal conditions (Fault-free cases)第115-118页
        5.3.4 Fault detection and diagnosis第118-123页
    5.4 Conclusions第123-125页
CHAPTER 6 CONCLUSIONS AND RECOMMENDATIONS第125-130页
    6.1 Main contributions第125-126页
    6.2 Summary on implementation of the proposed FDD methods第126-128页
        6.2.1 An online FDD strategy for centrifugal chiller systems based on radial basis function第126-127页
        6.2.2 A FDD strategy for Centrifugal Chiller systems based on comparison studies of chiller models techniques第127页
        6.2.3 An enhanced chiller FDD strategy based on LSSVR-DE model combined with EWMA第127-128页
    6.3 Recommendations for Future Work第128-130页
REFERENCE第130-141页
ACKNOWLEDGEMENTS第141-142页
PUBLICATIONS第142页

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