Probabilistic Inspection of Multimodally Distributed Signals
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F15%3A00444754" target="_blank" >RIV/67985556:_____/15:00444754 - isvavai.cz</a>
Alternative codes found
RIV/48361143:_____/15:#0000027
Result on the web
—
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
Probabilistic Inspection of Multimodally Distributed Signals
Original language description
Condition monitoring of complex systems starts from an inspection of single measured signals. Results of health evaluation for each signal then enter the monitoring framework which uses a special type of probabilistic logic to assess condition of the whole inspected system while respecting its internal structure. A distribution of the involved signal can be multimodal in general. Therefore, a Gaussian mixture is more suitable for its approximation than a single theoretical distribution. The mixture estimated from a sufficiently long record of a particular signal can be used not only for its prediction but also for evaluation of the signal health. However, finding the values in a low probability region does not necessarily indicate bad condition of thesignal ? it can be interpreted as an increase in the information uncertainty instead. This approach is being tested on industrial data within the running project which aims to develop the novel probabilistic condition monitoring system.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
BC - Theory and management systems
OECD FORD branch
—
Result continuities
Project
<a href="/en/project/7D12004" target="_blank" >7D12004: Probabilistic distributed industrial system monitor</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
The 12th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies (CM 2015/MFPT 2015)
ISBN
978-1-5108-0712-9
ISSN
—
e-ISSN
—
Number of pages
8
Pages from-to
—
Publisher name
The British Institute of Non-Destructive Testing
Place of publication
Oxford, UK
Event location
Oxford
Event date
Jun 9, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—