J Redgate

Rapid design of tool-wear condition monitoring systems for turning processes using novelty detection

Condition monitoring systems of manufacturing processes have been recognised in recent years as one of the key technologies that provide the competitive advantage in many manufacturing environments. It is capable of providing an essential means to reduce cost, increase productivity, improve quality and prevent damage to the machine or workpiece. Turning operations are considered one of the most common manufacturing processes in industry. It is used to manufacture different round objects such as shafts, spindles and pins. Despite recent development and intensive engineering research, the development of tool wear monitoring systems in turning is still ongoing challenge. In this paper, force signals are used for monitoring tool-wear in a feature fusion model. A novel approach for the design of condition monitoring systems for turning operations using novelty detection algorithm is presented. The results found prove that the developed system can be used for rapid design of condition monitoring systems for turning operations to predict tool-wear.

Evaluation of Component Reliability Using Data Derived from Infrared Thermography

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.

Sustainable Transport System using Renewable Energy and Efficient Electric Vehicles

This paper describes the most environmentally friendly model for a transportation system, based on the available technology, could involve the use of zero emission electric vehicles that are combined with a highly efficient electrical drive system and an electrical storage system that can be replenished using renewable energy sources. The 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 optimizing 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.