This paper describes failsafe control methods for electric vehicles (EVs) with the failsafe structure in which front and rear wheels are driven independently. Based on failure-diagnosis results, the failsafe control is done by dividing fault states into two types, i.e. a slight failure such as a current or a speed sensor failure and a serious failure such as an inverter or a motor failure. For ...

There has been considerable recent interest in the level of tamper resistance that can be provided by low cost devices such as smartcards. It is known that such devices can be reverse engineered using chip testing equipment, but a state of the art semiconductor laboratory costs millions of dollars. In this paper, we describe a number of attacks that can be mounted by opponents with much shallow...

In this paper, a model-predictive control based framework is proposed for modeling and optimization of the health state of power system equipment. In the framework, a predictive health model is proposed that predicts the health state of the equipment based on its usage and maintenance actions. Based on the health state, the failure rate of the equipment can be estimated. We propose to use this ...

The number of hemodialysis patients and dialysis facilities is increasing each year, but there are no surveillance programs validating that the services and equipment of each hemodialysis unit meet specified safety and quality standards. There is a concern that excessive competition and illegal activities committed by some dialysis facilities may violate patients' right to health. Contrastingly...

Extending or changing systems that are in operation 24/7 should disturb the operation as little as possible. Therefore, the extensions or changes should have been thoroughly tested in advance under conditions comparable to operational conditions. Baggage handling systems is typically an area to which these requirements apply. Control software is one of the main components for baggage handling s...

Condition monitoring of distribution equipment is essential for the prediction of distribution system failures. So, KEPCO developed intelligent distribution equipments that can diagnose its degradation conditions through special sensors and monitor its performance by a distribution automation system. Intelligent circuit breakers, switchgears, reclosers, transformers and surge arresters have bee...

Improving the use of power plant information sources for equipment fault diagnosis will help electric utilities meet plant availability goals and reduce operations and maintenance costs. The combination of data from multiple information sources--such as data historians, predictive maintenance technologies, and operator rounds-can provide a holistic view of condition for a given item of equipmen...

Automobile sector forms the backbone of manufacturing sector. Vehicle assembly line is important section in automobile plant where repetitive tasks are performed one after another at different workstations. In this thesis, a methodology is proposed to reduce cycle time and time loss due to important factors like equipment failure, shortage of inventory, absenteeism, set-up, material handling, r...

On the basis of analyzing the relationship between the equipment system and spare parts inventory, this paper proposes two-level equipment and spare parts system management based on the Theory of Constraints. From the system point of view and according to the Theory of Constraints, the manufacturing organization identifies bottleneck equipments in equipment system and makes the bottleneck equip...

This paper presents results from a case study in predictive maintenance at a distribution warehouse. A simulation model was built with ARENA 5.0 for integrating predictive maintenance strategies with production planning strategies, for a conveyor system. Equipment health was monitored using condition-based parameters such as temperature and vibration for mechanical and electrical components su...