Board machine.

Machine learning methods for vehicle predictive maintenance using off-board and on-board data

Vehicle uptime is getting increasingly important as the transport solutions become more complex and the transport industry seeks new ways of being competitive. Traditional Fleet Management Systems are gradually extended with new features to improve reliability, such as better maintenance planning. Typical diagnostic and predictive maintenance methods require extensive experimentation and modell...

Dynamic Simulation Studies for Enhanced Board Machine Control

A dynamic simulation model of a 3-layer board machine was developed. The simulation model consists of stock preparation and proportioning, short circulations, wire and press sections, and drying section including the steam and condensate systems. Physical, first principles models were used whenever possible. The control system and automatic grade change program were modelled as well. The simula...

Applying Machine Learning to the Board Game Pylos

We are exploring the application of machine learning and AI methods to the board game Pylos. Pylos is a deterministic, zero-sum, strategy game for two players. To increase the chances of a win, the next move chosen by a player can be optimized by a machine learning algorithm. We represent the available moves by a decision tree where each move is represented by a score extracted from the game bo...

Editorial Board

Editorial Board