| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0431247 |
| utime |
20240111140850.4 |
| mtime |
20140912235959.9 |
| title
(primary) (eng) |
Testing of Sensor Condition Using Gaussian Mixture Model |
| specification |
| page_count |
9 s. |
| media_type |
C |
|
| serial |
| ARLID |
cav_un_epca*0431243 |
| ISBN |
978-989-758-039-0 |
| title
|
Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics |
| part_title |
Volume 1 |
| page_num |
550-558 |
| publisher |
| place |
Portugal |
| name |
SCITEPRESS – Science and Technology Publications |
| year |
2014 |
|
| editor |
| name1 |
Filipe |
| name2 |
Joaquim |
|
| editor |
| name1 |
Gusikhin |
| name2 |
Oleg |
|
| editor |
| name1 |
Madani |
| name2 |
Kurosh |
|
| editor |
| name1 |
Sasiadek |
| name2 |
Jurek |
|
|
| keyword |
Sensor Faults |
| keyword |
Bayesian Statistics |
| keyword |
Gaussian Mixture |
| author
(primary) |
| ARLID |
cav_un_auth*0101119 |
| name1 |
Jirsa |
| name2 |
Ladislav |
| full_dept (cz) |
Adaptivní systémy |
| full_dept (eng) |
Department of Adaptive Systems |
| department (cz) |
AS |
| department (eng) |
AS |
| institution |
UTIA-B |
| full_dept |
Department of Adaptive Systems |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0101175 |
| name1 |
Pavelková |
| name2 |
Lenka |
| full_dept (cz) |
Adaptivní systémy |
| full_dept |
Department of Adaptive Systems |
| department (cz) |
AS |
| department |
AS |
| institution |
UTIA-B |
| full_dept |
Department of Adaptive Systems |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| source |
|
| cas_special |
| project |
| project_id |
7D12004 |
| agency |
GA MŠk |
| ARLID |
cav_un_auth*0291242 |
|
| abstract
(eng) |
The paper describes a method of sensor condition testing based on processing of data measured by the sensor using a Gaussian mixture model with dynamic weights. The procedure is composed of two steps, off-line and on-line. In off-line stage, fault-free learning data are processed and described by a probabilistic mixture of regressive models (mixture components) including a transition table between active components. It is assumed that each component characterises one property of data dynamics and just one component is active in each time instant. In on-line stage, tested data are used for transition table estimation compared with the fault-free transition table. The crossing of given level of difference announces a possible fault. |
| action |
| ARLID |
cav_un_auth*0305694 |
| name |
11th International Conference on Informatics in Control, Automation and Robotics - ICINCO 2014 |
| place |
Vien |
| dates |
01.09.2014-03.09.2014 |
| country |
AT |
|
| reportyear |
2015 |
| RIV |
BC |
| num_of_auth |
2 |
| presentation_type |
PR |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0236083 |
| confidential |
S |
| arlyear |
2014 |
| mrcbU56 |
textový dokument |
| mrcbU63 |
cav_un_epca*0431243 Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics Volume 1 978-989-758-039-0 550 558 Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics Portugal SCITEPRESS – Science and Technology Publications 2014 |
| mrcbU67 |
Filipe Joaquim 340 |
| mrcbU67 |
Gusikhin Oleg 340 |
| mrcbU67 |
Madani Kurosh 340 |
| mrcbU67 |
Sasiadek Jurek 340 |
|