Induction machines play a vital role in industry and there is a strong demand for their reliable and safe operation. They are generally reliable but eventually do wear out. Faults and failures of induction machines can lead to excessive downtimes and generate large losses in terms of maintenance and lost revenues, and this motivates the examination of on-line condition monitoring. The major dif...

Machinery maintenance accounts for a large proportion of plant operating costs. Compared with the conventional scheduled maintenance strategy which is to stop the machine at pre-determined intervals, modern condition-based maintenance strategy stops the machine only before there is evidence of impending failure. With the development of cheaper sensors, more and more sensors are designed for mac...

Vibration based condition monitoring refers to the use of in situ non-destructive sensing and analysis of system characteristics – in the time, frequency or modal domains – for the purpose of detecting changes, which may indicate damage or degradation. In the field of civil engineering, monitoring systems have the potential to facilitate the more economical management and maintenance of modern ...

The use of Condition Monitoring (CM) in the power industry is well established, with traditional manual analysis increasingly giving way to intelligent, automated analysis. Further, there is a growing interest in the extension of such CM systems to derive prognostic information for asset management. It is common however for CM applications to be retrofitted to existing equipment, to monitor a p...

This paper analyses acoustic emission energy signals acquired under mixed load conditions with one induced fault. With Mean field independent components analysis is applied to an observation matrix build from successive acoustic emission energy revolution signals. The paper presents novel results that provide remarkable automatic grouping of the observed signals equivalent to the grouping obtai...

Automated condition monitoring of active components of a system can improve the cost-ef®ciency of preventive and corrective maintenance and the availability of the production system. The validity, reliability and correct interpretation of the signals obtained from the condition monitoring instrumentation is important for the realisation of the potential bene®ts. The utilisation of experts in th...

This paper presents parameter identification technique to quantify the faults in motor condition monitoring. Genetic Algorithm (GA) has been used as a key technique to estimate the motor parameters. The zero-sequence voltage equation for the stator has been used as a model to estimate motor stator parameters – the stator resistance and the stator leakage inductance. The comparison of the parame...

Although the universal definition of MEMS product possesses a number of distinctive features, they are miniature systems involving one or more micro-mechanical components or structure. Infrastructure assessment has recently addressed an important field for MEMS application. For example, satisfactory laboratory experiment in the area of concrete monitoring has been developed. Although the experi...

The Navy’s Integrated Condition Assessment System (ICAS) is continuously evolving to meet the needs of today’s fleet as well as the requirements of future ship designs. This paper describes a technology known as the non-intrusive load monitor that could support the evolution of ICAS and other condition-based maintenance (CBM) systems. The non-intrusive load monitor (NILM) [8, 9, 10] can be used...

An inverse input–output method is proposed for long-term condition monitoring of civil infrastructures through the prediction error air temperature recorded at site a structure. It known that structural natural frequencies are affected by temperature. Hence, considers as input and output to train machine learning algorithm (MLA). To this end, after signal preprocessing using variational mode de...