Projects / Programmes
Design of fault detection and isolation systems with application to quality assessment of electrical motors
| Code |
Science |
Field |
Subfield |
| 2.06.00 |
Engineering sciences and technologies |
Systems and cybernetics |
|
| Code |
Science |
Field |
| T125 |
Technological sciences |
Automation, robotics, control engineering |
Fault diagnosis, signal processing, approximate reasoning, quality control
Researchers (6)
| no. |
Code |
Name and surname |
Research area |
Role |
Period |
No. of publicationsNo. of publications |
| 1. |
15735 |
PhD Gregor Dolanc |
Systems and cybernetics |
Researcher |
2004 - 2007 |
219 |
| 2. |
15582 |
Janez Grom |
|
Technical associate |
2004 - 2007 |
14 |
| 3. |
02561 |
PhD Đani Juričić |
Systems and cybernetics |
Head |
2004 - 2007 |
414 |
| 4. |
04543 |
PhD Janko Petrovčič |
Systems and cybernetics |
Researcher |
2004 - 2007 |
325 |
| 5. |
16190 |
PhD Andrej Rakar |
Metrology |
Researcher |
2004 |
67 |
| 6. |
14018 |
PhD Mina Žele |
Computer science and informatics |
Researcher |
2004 - 2005 |
56 |
Organisations (1)
| no. |
Code |
Research organisation |
City |
Registration number |
No. of publicationsNo. of publications |
| 1. |
0106 |
Jožef Stefan Institute |
Ljubljana |
5051606000 |
90,753 |
Abstract
In attempt to increase productivity, product quality and adaptivity to market changes, the operation of modern production systems is being pushed to the limits of performance. This is why stable and predictable condition of equipment as well as immunity towards disturbances and faults represent key factors in achieving top quality products along with the maximal availability and reliability. This has implied the need in manufacturing and process industries to replace manual assessment procedures and simple statistical process control routines with systems, which allow in-depth on-line detection and isolation of faults as early as in their incipient phase. This opens perspectives for condition-based maintenance with timely interventions that will significantly reduce the unexpected production shutdowns or production of products of unacceptable performance.
The aims of the project are twofold. The first one refers to the research and development of a new generation of monitoring systems, based on deep process knowledge and utilisation of modern signal processing tools. The underlying research will put emphasis on systems with complex dynamics. The second aim of the project is a practical validation of the methods on a case study related to quality assessment of electrical motors in mass production. Although relativly simple, these items exhibit rather non-trivial dynamics largly due to internal interactions.
Three main questions will be treated in the project in a way that takes into account specific issues of the problem domain of rotational machinery. First, how to extract basic invariants of the nonlinear systems dynamics and what is their sensitivity to faults. An electrical motor will be taken as an example. Second question concerns the use of arrays of sensors as a tentative means to improve diagnostic precision and sensitivity to faults. Third, development of new measurement procedures, which will allow to come closer to the origins of malfunction. This direction has not received appropriate attention in the scientific community yet.
Finally, the methodological results will be verified on an example of quality assessment of a new type of vacuum cleaner motors. Manufacture of these devices is planned to start in year 2004. The new product is expected to bring a new significant market share. However, the products must be of the top-notch quality. Based on successful experimental runs, the detailed specifications for an automatic assessment system will be derived. Such a system would help guarantee the reference quality of final products, perfect traceability and additional trust on the customers's side.
