Inhalt

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   Abstract
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   Zusammenfassung
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   Acknowledgements
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   Contents
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   List of Figures
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   List of Tables
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   List of Algorithms
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   Acronyms
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   Symbols
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  Introduction
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   Motivation
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   Research Scope
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   Document Structure
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  Basic Concepts
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   Embedded Real-Time Systems
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  Distributed Systems
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   Characteristics of Distributed Systems
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   Resource Constraints
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   Time-Triggered Systems and Scheduling
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   Dependability
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   Reliability
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   Maintainability
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   Availability
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   Safety
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  Faults, Errors, and Failures
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   Terminologies
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   Faults
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   Errors
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   Failures
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  Fault-Tolerant Systems
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   Fault-Tolerant System Design
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   Hardware Redundancy
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   Information Redundancy
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   Software Redundancy
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   Time Redundancy
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   Degradation Steps
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  Fault Diagnosis
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   Introduction to Fault Diagnosis
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   Fault Detection Methods
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   Single Signal Analysis
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   Signal Models
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   Process Models
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   Active and Passive Fault Detection
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   Fault Diagnosis Methods
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   Inference Methods
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   Classification Methods
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  Data Compression
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   Introduction to Data Compression
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  Lossy Compression
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   Introduction to Lossy Compression
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   Discrete Cosine Transform
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  Lossless Compression
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   Introduction to Lossless Compression
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   Huffman Coding
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   Arithmetic Coding
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   Context-Based Compression
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   Dictionary Techniques
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   Differential Encoding
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   Other Lossless Compression Techniques
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  Related Work
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   Requirements
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  Related Work
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   Transform Coding
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   Entropy Coding and Dictionary Techniques
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   Differential Encoding and Predictive Encoding
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   Distributed Source Coding
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   Off-the-Shelf Algorithms Versus Application-Specific Compression Algorithms
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   Data Compression and Scheduling
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   Summary of the Requirements and Related Work
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  DAKODIS Architecture
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   Architecture Overview
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   Physical Model
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  Logical Model
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   Directed Acyclic Graphs
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   Data Streams
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   Applications
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   Compression Model
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   Scheduling Model
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  Online Data Compression for Time-Triggered Communication
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  Compression of Individual Data Streams
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   Cache-Based Compression Algorithm for Individual Data Streams
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  Algorithm Enhancements – Reducing Uncertainty and Miss Rate
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   Reducing the Uncertainty
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   Reducing the Miss Rate
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   Example of the Cache-Based Compression Algorithm
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   Probability of a Miss
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   Dynamic Cache-Based Compression Algorithm for Individual Data Streams
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   Example of the Dynamic Cache-Based Compression Algorithm
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   Difference Coding for Individual Data Streams
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  Simultaneous Compression of Multiple Data Streams
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   Preliminaries
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   Cache-Based Compression Algorithm for Multiple Data Streams
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   Dynamic Cache-Based Compression Algorithm for Multiple Data Streams
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   Partial Misses
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   Grouping of Active Hypercubes
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  Automatic Grouping of Active Hypercubes
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   Monitoring the Data Streams
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   Static Transmission Dictionary Updates
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   Dynamic Transmission Dictionary Updates
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  Merging and Splitting Compressed Data Streams
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   Routing and Compression Scenarios
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   Merging and Splitting with the Static Cache-Based Algorithm
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   Merging and Splitting with the Dynamic Cache-Based Algorithm
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  Evaluation and Results
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  Use Case – Hybrid Electric Vehicle
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   Hybrid Electric Vehicle Model in Simulink
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   Fault Model and Fault Injection
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  Evaluation of the Online Data Compression Algorithms
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  Test Signals
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   Sensor Measurements from the HEV Model
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   Generation of Synthetic Test Signals
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   Loss Rates of Individually Compressed Data Streams
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  Loss Rates of Multiple Simultaneously Compressed Data Streams
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   Transmission Regions
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   Scalability of Simultaneous Data Compression
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   Signal Selection for Simultaneous Data Compression
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   Time Considerations for Dictionary Searches
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  Comparison with Other Data Compression Techniques
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   Compression of Individual Data Streams
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   Simultaneous Compression of Multiple Data Streams
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   Data Compression and Information Redundancy
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   Influence of Compressed Communication on Schedules
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  Impact of Data Compression on Fault Diagnosis
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   Classification-Based Fault Diagnosis
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  Fault Diagnosis Use Case
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   Hybrid Electric Vehicle Model
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   Condition Monitoring of a Hydraulic System
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   Classifier Implementation
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   Constrained Communication Resources and Fault Diagnosis
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  Conclusion
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   Summary and Contribution
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   Future Work
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  Appendix
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   Loss Rates of Evaluation Test Signals
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   Classification Report for the Fault Diagnosis Use Case
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   Publications
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   Bibliography