Filters
cris logo
-
New search Filters
Select from list
Displayed from Show more
You have reached the maximum number of displayed search results.
All results displayed
No results are available for the search performed
Displayed from
You have reached the maximum number of displayed search results.
All results displayed
Loading results
Obtaining statistical data

Projects / Programmes source: ARIS

Combined Qualitative/Quantitative Approach to On-Line Fault Diagnosis of Industrial Processes

Edit
Research activity

Code Science Field Subfield
2.06.01  Engineering sciences and technologies  Systems and cybernetics  Control systems technology 

Code Science Field
T120  Technological sciences  Systems engineering, computer technology 
T125  Technological sciences  Automation, robotics, control engineering 
Keywords
fault diagnosis, fault detection, fault isolation, model-based methods, approximate reasoning, parity relations, qualitative modelling, fault-trees, toolboxes, prototyping, benchmarks, process monitoring, industrial applications.
Evaluation (rules)
source: COBISS
Evaluation of bibliographic research performance indicators according to ARIS methodology
Citations Citations for bibliographic records in COBIB.SI that are linked to records in citation databases
source: WoS source: Scopus source: COBISS
Researchers (9)
no. Code Name and surname Research area Role Period No. of publications
1.  15582  Janez Grom    Researcher  1997 - 2000  14 
2.  02561  PhD Đani Juričić  Systems and cybernetics  Head  1997 - 2000  414 
3.  16160  Mateja Kavčič  Systems and cybernetics  Researcher  1997 - 2000  25 
4.  16190  PhD Andrej Rakar  Metrology  Researcher  1997 - 2000  67 
5.  05191  PhD Marjan Rihar  Engineering sciences and technologies  Researcher  1998 - 2000  96 
6.  02830  PhD Stanislav Strmčnik  Systems and cybernetics  Researcher  1997 - 2000  488 
7.  15583  Miroslav Štrubelj    Researcher  1999 - 2000  30 
8.  14018  PhD Mina Žele  Computer science and informatics  Researcher  1997 - 2000  56 
9.  12343  PhD Alenka Žnidaršič  Systems and cybernetics  Researcher  1997 - 2000  80 
Organisations (1)
no. Code Research organisation City Registration number No. of publications
1.  0106  Jožef Stefan Institute  Ljubljana  5051606000  90,753 
Abstract
Detection and localisation of sources of malfunctioning is one of the most important tasks in process monitoring. Current generation of SCADA systems provide merely classical alarming based on violation of upper and lower bounds imposed on measurable process variables. These bounds are usually set up in a heuristic manner. Thus mainly large faults can be detected, unfortunately, often too late to take corrective actions. Therefore, in order to early reveal a fault in the system, it is neccessary to make use of more profound knowledge of the plant. Depending on the diagnostic requirements, the adequate purposive models might take various levels of abstraction. The purpose of the underlying project is the following: 1. design and combination of diagnostic algorithms based on models of various levels of abstraction, 2. robust analytical model-based diagnosis employing the quantification of modelling error, 3. contribution to the computer-aided design for prototyping of diagnostic systems and 4. practical realisation of diagnostic systems for various test and industrial processes. The most relevant results achieved could be summarised as follows: - application of stochastic embedding technique in order to quantify the contribution of modelling errors to the variance of the prediction error; consequently, a likelihood ratio test for detection is derived, - component-based approach to process modelling utilising the naive physics approach, - fault isolation by means of approximate reasoning with focus on the transferable belief model (TBM), - contribution to the toolbox in G2 for the synthesis of diagnostic rules and - testing of various diagnostic solutions on real processes including the diagnostic prototype for a subprocess in TiO2 production plant in Cinkarna Celje.
Confirmation required
Views history
Favourite