Condition Monitoring Applications Research Articles

Transducer interconnection with a standard fieldbus

AbstractThis paper discusses fieldbus systems and introduces MIL‐STD‐1553B, IEC International Fieldbus, Arcnet, Bitbus and The Local Operating Network as examples of the world‐wide fieldbus activity. The main features of fieldbus instrumentation are introduced and communication protocols, safety and condition monitoring applications, and smart instrumentation are discussed.

Passive Diagnostics and Reliability Experiment: Application in Machine Condition Monitoring

For many critical machines the only source of diagnostic knowledge is passive experiment during machine operation. If we treat the observed vibration symptoms for a group of machines as an outcome of the Weibull type stochastic process we can calculate the average symptom life-curve and the alarm and break-down ratio. These appear to be dependent on the Weibull shape factor (existing machine quality) and maintenance parameters used at a given plant. The results of passive experiment shown in the paper confirm fully the paper’s theoretical consideration.

Planned maintenance scheme for building services at a polytechnic

A case study showing how the application of condition monitoring within the overall strategy of terotechnology has been achieved when applied to building services. The first part describes the options open to building owners, when considering how to maintain the services within their buildings. The second part explains the considerable amount of thought and planning that has gone into producing a viable functioning system that is easily understood by all who have an interest in the development of terotechnology.

Neural Networks Applications In ConditionMonitoring

Condition monitoring is the term used to describe a combination of techniques for implementing a condition-based maintenance strategy on industrial machinery. Data such as vibration levels (both overall and in terms of frequency spectra), temperature, oil analysis etc, are acquired from plant, and analysed to determine the condition of that plant at the time of measurement. Software packages provide a graphical display of the data, and most provide some form of diagnostic tools to assist engineers in performing data analysis. Rule-based expert systems are available to perform machinery defect diagnosis, with varying degrees of automation and human interaction. However, such systems have inherent problems, such as their ability to deal successfully only with clearly defined problems within a narrow band of parameters, and their inability to cope with contradictory, incomplete, or noisy data -just the type of data found in many real-world applications. This paper describes the implementation of an off-line condition monitoring system at Blyth Power Station, one of the stations owned by National Power in the United Kingdom. It explains the application area and the type of data acquired. The paper then goes on to describe the neural network models which have been developed to analyse condition monitoring data, both at Blyth Power Station, and by the Neural Applications Group at Brunei University. Transactions on Information and Communications Technologies vol 6, © 1994 WIT Press, www.witpress.com, ISSN 1743-3517

Condition Monitoring Of A Nd: YAG Laser MachineTool

In this paper the application of condition monitoring to a Nd: YAG laser machine tool is reported. Initially an audit of the laser machine tool, to identify the signals likely to be sensitive to the health of the laser, was performed. Some of these signals and additional sensors fitted to the laser are logged during the normal operating cycles of the laser by a data acquisition system. Analysis of the logged signals shows that it is possible to condition monitor the flashlamps and to give a warning of their impending failure. However, the measurements from what are nominally identical flashlamps are different, therefore each flashlamp must be monitored independently from each other,