This paper describes a novel approach, named Initial Optimisation Procedure (IOP), which is implemented to design enhanced condition monitoring systems. The IOP method is designed to evaluate the most sensitive location for a sensor for the detection of machine or process faults. The vibration data of a milling process is used in an experimental work to demonstrate the suggested methodology. Fourier Transformation and Wavelet are used for data analysis. The results show that the suggested approach is most suitable for vibration and acoustic emission sensors to improve the reliability and the capability of condition monitoring systems.
The most environmentally friendly model for a transportation system, based on the available technology, could involve the use of zero emission electric vehicles combined with a highly efficient electrical drive system and an electrical storage system that can be replenished using renewable energy sources. This paper presents the overall strategy of a transportation system. It presents a model for the dynamics and drive of an electric vehicle, describes a novel approach for optimising the efficiency of induction motor drives, reports on practical evaluations of an electric vehicle drive under controlled laboratory conditions and relates the application of renewable sources of electrical energy to the transport sector.The results demonstrate the feasibility of the use of efficient electrical drive systems coupled with renewable energy sources as a strategy for a zero emission transportation system.
Condition monitoring of components is commonly required to evaluate integrity, manage maintenance and predict impending failure. The condition of many electrical and mechanical components is revealed by their thermal signature which can be reliably monitored by infrared camera. Thermal data obtained optically has the advantage of being non-contact so that moving mechanical parts and high voltage electrical components, including those located in hazardous environments or with difficult access, can be readily monitored. This paper proposes that data obtained by such methods is processed within a model in order to identify the imminent failure of a component or to estimate the probability that a component may exceed its operating tolerances at any given time within the remainder of its expected life.
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