Intelligent signal detectors with random moment of appearance in rail lines monitoring systems

Efficient Simulation of Random Signal Detectors

As the complexity of a detection algorithm increases, analytic performance evaluation becomes increasingly difficult and is often intractable. In such cases, Monte Carlo sunulations can be used, but they often require an excessive amount of computation. As a means of reducing this computation, importance sampling has been applied with great success to simulations of digital communications recei...

The Rail Technology Unit An Intelligent Track Monitoring System

Intelligent Vibration Signal Processing for Condition Monitoring

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. ...

Intelligent Monitoring in the Manufacturing Systems

This paper introduces an integrated methodology to intelligent monitor and diagnose machine faults in complex industrial processes such as flexible manufacturing systems. The approach is generic and applicable to a variety of industrial plants that operate critical processes and may require continuous monitoring and maintenance procedures.

Intelligent Radar Detectors

The Artificial Neural Networks (ANNs) are based on the behaviour of the brain. So, they can be considered as intelligent systems. In this way, the ANNs are constructed according to a brain, including its main part: the neurons. Moreover, they are connected in order to interact each other to acquire the followed intelligence. And finally, as any brain, it needs having memory, which is achieved i...