fleet safety is seen as important, not just for fleet operators, but as a strategic approach to improving the safety of the entire vehicle fleet. Corporate purchasers of vehicles and transport services can specify high safety standards and thus create an economic imperative for providers of vehicles and transport services to meet these standards. Fleet management comprises all actions needed to maintain and operate pieces of equipment throughout its life from the beginning stages of equipment acquisition to the final stages of asset disposal. Such areas include maintenance and repair, inventory control, training, and safety issues. A company fleet management process is evaluated using two methods: Haddon matrix which is implemented to evaluate organizational safety context into which the driver assessment, monitoring and improvement program should fit. Haddon provides an all-encompassing pre-crash, atscene and post-crash systems-based framework for fleet safety. The network influence method which is presented as a risk management method.

This paper discusses the control a new topology of a brushless doubly-fed induction generator (BDFIG) using back-to-back PWM converters and its application to variable speed wind energy generation. The goal of BDFIG control is to achieve a similar dynamic performance to the doubly fed induction generator (DFIG), exploiting the well-known induction motor vector control philosophy. Here fuzzy logic controller for a BDFIG. Simulation results have been presented to investigate proposed technique

This paper discusses the control a new topology of a brushless doubly-fed induction generator (BDFIG) using back-to-back PWM converters and its application to variable speed wind energy generation. The goal of BDFIG control is to achieve a similar dynamic performance to the doubly fed induction generator (DFIG), exploiting the well-known induction motor vector control philosophy. Here fuzzy logic controller for a BDFIG. Simulation results have been presented to investigate proposed technique

This paper discusses the control a new topology of a brushless doubly-fed induction generator (BDFIG) using back-to-back PWM converters and its application to variable speed wind energy generation. The goal of BDFIG control is to achieve a similar dynamic performance to the doubly fed induction generator (DFIG), exploiting the well-known induction motor vector control philosophy. Here fuzzy logic controller for a BDFIG. Simulation results have been presented to investigate proposed technique