Real-time defect detection of high-speed train wheels by using Bayesian forecasting and dynamic model

A Real-Time Information Service Platform for High-Speed Train

In this paper, a real-time information service platform for high-speed train was proposed and implemented. With this platform, all passengers of train will freely to get access by Wi-Fi or other wireless network to enjoy movie, music, train information and travel information. Besides, the platform was connected to a FPGA based data processing center to collect train operation data including ins...

Probabilistic Wind Speed Forecasting Using Ensembles and Bayesian Model Averaging

Probabilistic forecasts of wind speed are becoming critical as interest grows in wind as a clean and renewable source of energy, in addition to a wide range of other uses, from aviation to recreational boating. Statistical approaches to wind forecasting offer two particular challenges: the distribution of wind speeds is highly skewed, and wind observations are reported to the nearest whole knot...

Real Time Systems: Parameter Identification for Speed Sensor Wheels

Modern diesel fuel injection system (common rail and pump-nozzle-units) requires the reference of crank angles, engine speed and load to estimate the two parameters: crank angle at the start of fuel injection and amount of fuel to inject for a diesel engine. Measurement of engine speed of a combustion engine is carried out by sensor wheels mounted on the crankshaft. Crank angles can be estimate...

Real Time Dynamic Simulation of Power System Using Multiple Microcomputers

Recent developments in the design and manufacture of microcomputers together with improved simulation techniques make it possible to achieve the speed and accuracy required for the dynamic simulation of power systems in real time. This paper presents some experimental results and outlines new ideas on hardware architecture, mathematical algorithms and software development for this purpose. The ...

Detection of Congenital Mullerian Anomalies Using Real-Time 3D Sonography