Intelligent Condition Monitoring Research Articles

BIT for intelligent system design and condition monitoring

The increasing complexity of microelectronic circuitry, as witnessed by multi-chip modules and system-on-a-chip and the rapid growth of manufacturing process automation, require that more effective and efficient testing and fault diagnosis techniques be developed to improve system reliability, reduce machine down time, and enhance productivity. As a design philosophy, built-in-test (BIT) is receiving increasing attention from the research community. This paper presents an overview of BIT research in several areas of industry, including semiconductor, manufacturing, aerospace and transportation.

Condition Monitoring Techniques for Electrical Equipment: A Literature Survey

Increasing interest has been seen in condition monitoring (CM) techniques for electrical equipment, mainly including transformer, generator, and induction motor in power plants, because CM has the potential to reduce operating costs, enhance the reliability of operation, and improve power supply and service to customers. Literature is accumulated on developing intelligent CM systems with advanced practicability, sensitivity, reliability, and automation. A literature survey is felt necessary with an aim to reflect the state-of-the-art development in this important area. After introducing the concepts and functions of CM, this paper describes the popular monitoring methods for and research status of CM on transformers, generators, and induction motors, respectively. The paper also points out the potential benefits through the utilization of advanced signal processing and artificial intelligence techniques in developing novel CM schemes.

Artificial neural networks as intelligent condition monitoring devices : Condition Monitoring and Diagnostic Technology, Vol. 2, No. 1, pp. 17–20 (Jul. 1991)

Artificial neural networks as intelligent condition monitoring devices : Condition Monitoring and Diagnostic Technology, Vol. 2, No. 1, pp. 17–20 (Jul. 1991)

Intelligent Condition Monitoring of Gas Compressor Engines

The intelligent condition monitoring of industrial plant is a rapidly expanding area of research. It combines two radically different disciplines: classical condition monitoring and intelligent knowledge-based systems. The paper presents an overview of the areas of orthodox condition monitoring systems, intelligent knowledge-based systems and intelligent condition monitoring. The paper also includes two examples of the diverse work underway in this area. Finally, there is a discussion of a current British Gas intelligent condition monitoring project, which is investigating the application of intelligent systems techniques to condition monitoring of gas compressor engines. This features a detailed summary of a particular element of the problem area. In addition the nature of the future development of this system is also discussed.

A knowledge-based system for sensor interaction and real-time component control

This paper outlines the integration of a two-dimensional vision system with a pneumatic proximity-to-tactile sensing device to form a Co-ordinated ‘Hand-Eye’ system. With the aid of a knowledge base this system is utilised as an intelligent condition monitoring tool for recognition and detection of orientation of parts in a flexible manufacturing environment. An expert system is formulated to interrogate the acquired data streams for the purpose of comparative studies with the knowledge base. Appropriate data processing methods are employed to ensure rapid manipulation of data for real-time applications.