Induction motors (IMs) are commonly used in various industrial applications. A spectrum synch (SS) technique is proposed in this chapter for early IM defect detection using electric current signals; fault detection in this work will focus on defects in rolling element bearings and rotor bars, which together account for more than half of IM imperfections. In bearing fault detection, the proposed...

Monitoring the condition of parts and machine components is a crucial task in ensuring fault-free manufacturing. In this work, we propose an alternative condition monitoring technique, with great potential in extracting and isolating individual fault patterns from manufacturing signals. We propose that the Karhunen-Lo eve transform provides the ability to decompose measured signals into decorre...

Recent advances in pattern analysis techniques together with the advent of miniature vibration sensors and high speed data acquisition technologies provide a unique opportunity to develop and implement in-situ, beneficent, and non-intrusive condition monitoring and quality assessment methods for a broad range of rotating machineries. This invited paper provides an overview of such a framework. ...

This paper focuses on experimental results to prove that motor current signature analysis (MCSA) can diagnose shorted turns in low voltage stator windings of 3-phase induction motors using LabVIEW. The diagnostic strategy is presented and variables that influence the diagnosis are discussed. Current spectra from motors with short-circuited turns (with and without short circuit current limiting ...

Condition monitoring allows maintenance actions to be based on changes of a trend of machine or process parameters. The identification, monitoring and fusion of data from key parameters can provide greater confidence in decisions. Data fusion is a relatively new term to the condition monitoring community. In defence and other applications the field is mature and has seen extensive application. ...

Given the critical nature of gas turbines in most industrial plants, their availability is of prime importance. Associated maintenance costs can also be extremely high and hence, it is a high priority to find ways of reducing maintenance costs and increasing the availability of the gas turbine. Routine preventative maintenance techniques have been used for many years to minimise major problems ...

In this paper an intelligent system for remote patient physical condition monitoring service module for an Intelligent Robot Swarm for Attendance, Recognition, Cleaning and Delivery (iWARD) [1] is reported. The system algorithm and module software is implemented in C/C++, and the Orca robotics [2] components use the OpenCV [3] image analysis and processing library. The system is successfully te...

This paper details a range of work carried out by the authors within the general theme of advanced condition monitoring possibilities for rail vehicle bogies. Maintenance of rail vehicle bogies represents one of the largest areas of whole vehicle running costs and their efficient operation is of safety critical importance to the entire rail system. Currently the majority of maintenance is carri...

Gas turbine monitoring and diagnostics belong to a common area of condition monitoring (health monitoring) of machinery and mechanical equipment such as spacecrafts, aircrafts, shipboard systems, various power plants and industrial and manufacturing processes. They can be considered as complex engineering systems and become more sophisticated during their further development that results in pot...