InMaint - Intelligent Monitoring and Maintenance in Production Industry
Status:
Start date:
End date:
The goal is to increase the scientific and industrial applicability of knowledge concerning maintenance, with the aim to increase productivity, reduce production costs and to generate valuable input for improved engineering design of products and production. The objective of the project is to
- Develop an approach that can help integrate maintenance needs at the engineering design stage such as Design for (or out) maintenance, RAMS (Reliability, Availability, Maintainability and Supportability) integration to optimize the total life cycle costs (LCC) for the products.
- Develop theoretical models to understand and forecast the cost productivity for all investments made towards maintenance cost of manual and automatic machines such as LHD machines. (Load Haul Dump machines).
- To develop flexible decision making models, methods and techniques for implementation of sensor and experience based condition monitoring in manufacturing.
- Develop an approach for condition based maintenance agents and diagnostics for manufacturing systems so as to make the manufacturing process disturbance free to achieve higher product quality and productivity and a cycle of continuous improvement.
Case-Based Reasoning Supports Fault Diagnosis Using Sensor Information (Nov 2012) Ning Xiong, Peter Funk, Tomas Olsson The 2nd International Workshop and Congress on eMaintenance
Case-based reasoning combined with statistics for diagnostics and prognosis (Jun 2012) Tomas Olsson, Peter Funk 25th International Congress on Condition Monitoring and Diagnostic Engineering
Case-Based Reasoning Applied to Geometric Production Measurements (Feb 2011) Ella Olsson, Peter Funk, Alf Andersson International Journal of Systems Assurance Engineering and Management
Case-Based Reasoning Applied to Geometric Production Measurements (Jun 2010) Ella Olsson, Peter Funk, Alf Andersson 1st International Workshop and Congress on eMaintenance June 22-24, 2010 in Luleå, Sweden
Why we need to move to intelligent and experience based monitoring and diagnostic systems (Jun 2010) Peter Funk, Ning Xiong COMADEM 2010, 23th International Conference on Condition Monitoring and Diagnostic Engineering Management
Case-Based Reasoning for Medical and Industrial Decision Support Systems (Jan 2010) Mobyen Uddin Ahmed, Shahina Begum, Ning Xiong, Peter Funk Successful Case-based Reasoning Applications
