Input design and data-driven approaches based on convex optimization for fault diagnosis in linear systems

The complexity of automated systems has grown considerably during the past decades. This convolutes the observation of possible faults in these systems. If not being revealed timely, such faults can lead to catastrophic failures. As a result, there is a continuous interest in sophisticated fault diagnosis techniques. Since it is generally...

Test and Diagnosis of Hard-to-Detect Faults in FinFET SRAMs

The Fin Field-Effect Transistor (FinFET) technology became the most promising approach to enable the downscaling of technological nodes below the 20 nm threshold. However, the introduction of new technology nodes for embedded memories such as SRAMs, especially for even smaller nodes such as 10 and 5 nm, gives rise to new manufacturing failure...

Fault Diagnosis in Household Appliances: A Design Perspective

Today’s industrialized societies face the challenge of integrating economic activity with sustainable consumption. Prosperity has come hand in hand with environmental damage. Product lifetimes are decreasing and there is a rising demand for high-tech products for which no effective recycling is in place. Hence, the value from products is lost to...

Exploring the role of system operation modes in failure analysis in the context of first generation cyber-physical systems

Typically, emerging system failures have a strong impact on the performance of industrial systems as well as on the efficiency of their operational and servicing processes. Being aware of these, maintenance and repair researchers have developed multiple failure detection and diagnosis techniques that allow early recognition of system or...

Fault diagnosis and maintenance optimization for interconnected systems: With applications to railway and climate control systems

For many systems, like medical devices, nuclear reactors, and transportation systems, an adequate maintenance optimization approach is essential to ensure high levels of reliability and safety while keeping operational costs low. A promising approach towards this goal is condition-based maintenance, which plans maintenance only when the system...

Fault Diagnosis and Fault-Tolerant Control for Aircraft Subjected to Sensor and Actuator Faults

Towards Use-Case Driven Self-Management of Distributed Systems

The growing complexity of distributed systems makes their management a challenge. Manual management of these systems is costly and time consuming. Autonomic computing has been proposed to reduce the cost of maintaining complex systems by developing computer systems capable of self-management. A self-managed system consists of multiple autonomic...

Cost Optimizations in Runtime Testing and Diagnosis

Software testing and diagnosis (debugging) is a time-consuming but rather important task for improving software reliability. It is therefore necessary to devise an appropriate verification strategy that not only achieves this reliability goal, but also does this at a minimum cost. Since exhaustive testing is hardly ever possible, testing...

Prototype of a diagnostic decision support tool for structural damage in masonry

This prototype of a diagnostic decision support tool for structural damage in traditional masonry is the result of a PhD research project. The research project has aimed to improve and facilitate the diagnostic process by offering support in the initial phase in which hypotheses are generated. The more precise hypotheses are formulated, and the...

Structural damage in masonry: Developing diagnostic decision support

This thesis deals with the diagnosis of structural damage in traditional masonry: cracks, deformations and tilts. Establishing the cause of this type of damage can be difficult. This research project has aimed to improve and facilitate the diagnostic process by offering support in the initial phase in which hypotheses are generated. The more...

Curvature Lines for Lesion Detection and Visualization in CT Colonography

In this thesis, we present an automatic polyp detection approach that integrates knowledge from flow visualization techniques. Our primary goal was to compute additional characteristic polyp features that improve the CAD performance of existing polyp detection approaches by eliminating found false-positive polyp candidates. We found that surface...

Approximation Algorithms for Model-Based Diagnosis

Model-based diagnosis is an area of abductive inference that uses a system model, together with observations about system behavior, to isolate sets of faulty components (diagnoses) that explain the observed behavior, according to some minimality criterion. This thesis presents greedy approximation algorithms for three problems closely related to...

Condition monitoring for marine refrigeration plants based on process models

Over the last decades the reliability, availability and safety of ships has become increasingly important. The cost and safety risks of ships have increased with the size, and the complexity has led to extensive automation. Many parameters, variables and alarms are available simultaneously for evaluation, but the small crew has many tasks they...

Level-Oriented Diagnosis for Indoor Climate Installations

Indoor climate installations are widely used in modern office buildings. Statistical data show that the energy consumption in buildings has grown quickly in the past decades. A considerable part is due to inefficient and improper operations of installations. Therefore, Fault Detection and Diagnosis (FDD) for indoor climate installations has...