Application of modern condition monitoring and control concepts in forest machines
In the cut-to-length harvesting method, which is dominant in Scandinavia, a harvester and a forwarder work as a pair. The harvester fells and delimbs the trees and cuts them to logs such that the value of the wood is maximized. The forwarder then carries the logs to the roadside for further transportation. The working conditions of the machines are very demanding: in the forest the weather can change from one extreme to an other during one work shift. Seasonal changes and differences between the trees in different stands are also major factors affecting the performance and productivity of the machines. To minimize downtime and to keep the machines in perfect working condition all the time, appropriate and appropriately scheduled maintenance is necessary. In the project new methods are studied for monitoring and improving the performance, usability and dependability of forest machines.
This project is part of TILLIKKA.
Our research partners are the Institute of Automation and Control (ACI) of the Tampere University of Technology (TUT). Our industrial partner is John Deere Forestry / Plustech. Our research is financed by Tekes and John Deere Forestry / Plustech.
- Keywords: Monitoring, fault diagnosis, intelligent control
- Duration: 2005-2006
- Research area: Process Control, Mechatronics, Operations & Maintenance
- Related projects: TILLIKKA, SOSE, Harvester
- Publications (total: 2)
- Pentti Lautala (ACI/TUT) - person in charge
- Vesa Hölttä - project manager
- Heikki Koivo
- Pauli Viljamaa (ACI/TUT)
- Jani Kaartinen
- Lauri Palmroth (ACI/TUT)
- Matti Repo
- Kalevi Tervo
- Vesa Hölttä: Plant performance evaluation in complex industrial systems ()
- Sampsa Vaulimo: Monitoring Quality Variations in Paper Machines (2007)
- Kalevi Tervo: Evaluation of Tree Stem Feeding Process Performance Using Hidden Markov Models (2006)