R.A. Vingerhoeds

Bio: R.A. Vingerhoeds is an academic researcher from Delft University of Technology. The author has contributed to research in topics: Expert system & Fault tree analysis. The author has an hindex of 3, co-authored 3 publications receiving 12 citations. Previous affiliations of R.A. Vingerhoeds include Swansea University.

Fault diagnosis of electronic systems using intelligent techniques: a review

Abstract: In an increasingly competitive marketplace system complexity continues to grow, but time-to-market and lifecycle are reducing. The purpose of fault diagnosis is the isolation of faults on defective systems, a task requiring a high skill set. This has driven the need for automated diagnostic tools. Over the last two decades, automated diagnosis has been an active research area, but the industrial acceptance of these techniques, particularly in cost-sensitive areas, has not been high. This paper reviews this research, primarily covering rule-based, model-based, and case-based approaches and applications. Future research directions are finally examined, with a concentration on issues, which may lead to a greater acceptance of automated diagnosis.

Model-based, real-time control of electrical power systems

Abstract: Automated control of a large electrical power distribution network through a single controller can provide advantages in efficiency and reliability as well as reduction in maintenance costs. For control to be most effective, it is necessary that a global view of the entire network be had by the controller, so that it can reason as to the cause of the readings of the various sensing devices located throughout the network, Traditional approaches to power system control have involved a set of local devices (i.e., protective relays) that base their decision on the instantaneous reading of a single sensor. These single-parameter decisions can sometimes be incorrect due to sensor failures. Furthermore, a special type of fault called a soft fault, where a fault impedance limits the current to a value below the relay operating point, are nearly impossible to detect with decisions based on a single local parameter. By reasoning over an entire suit of sensing devices spread throughout the entire network, protection decisions based on a global view can become more reliable as well as comprehensive. Some previous approaches have implemented global control with varying degrees of success through the use of rule-based knowledge-based systems. This paper describes an alternative knowledge-based approach that makes use of so-called models of structure-and-behavior, to which model-based diagnosis is applied. The objective of this approach is to develop a system that can reliably diagnose faults in power distribution networks (especially soft faults), identify sensor failures, and carry out appropriate corrective action automatically. An intelligent power controller (IPC) which has these capabilities is described. This IPC was rigorously tested in an DC electrical power distribution system testbed and found to successfully carry out the required functions. This paper also describes in detail the tests and the conclusions drawn from their results.

Large-Scale Fault Diagnosis for On-Board Train Systems

Abstract: A new approach is developed for fault diagnosis during different stages of development and operation of large train systems, incorporating case-based reasoning, conditional probabilities and indexing networks. Due to the size and complexity, the explicit, complete and accurate modelling of the on-board train systems is regarded impossible. The knowledge is implicitly available in fault-cases with possible symptoms, test results and actions. Off-line, different diagnostic systems are automatically maintained and (re)generated. Knowledge and experience of manufacturers and railway companies are fed back into all systems, but only after validation by authorised personnel. On-line, the system responses are consistent and fast enough, despite the size and uncertainty in the fault-cases. Available case-based reasoning tools have serious limitations in permissible size of the problem, handling probability factors, meeting required response times and satisfying the real-time requirements. The novelty of the proposed approach is that fault-networks, rather than fault-trees, are built automatically as the indexing structure of the case-base for on-line use.

A scientometric analysis and critical review of gas turbine aero-engines control: From Whittle engine to more-electric propulsion

Abstract: The gas turbine aero-engine control systems over the past eight decades have been thoroughly investigated. This review purposes are to present a comprehensive reference for aero-engine control desi...