PRANA (system): Difference between revisions
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The system’s mathematical tool is grounded on similarity-based modeling methods. The system generates a reference digital pattern, i.e. a set of the facility’s mathematical models which describes the error-free behavior of equipment in various modes of operation. To build it, the ideology of the Hotelling T2 Control Charts is used. The model value is calculated by means of the state matrix and using the similarity operator for each measured value. The residual and standard deviation are calculated using the difference between the reference and actually measured values for each parameter. Residuals are normalized and the integral criterion of technical condition T2 is calculated on an aggregate basis. Owing to analyzing the T2 criterion, changes in the technical condition of equipment are predicted and all possible dependences of parameters are monitored.<ref name='jcement'>https://jcement.ru/magazine/vypusk-1-2021/perspektivy-ispolzovaniya-sistemy-prediktivnoy-diagnostiki-v-tsementnoy-promyshlennosti/</ref> | The system’s mathematical tool is grounded on similarity-based modeling methods. The system generates a reference digital pattern, i.e. a set of the facility’s mathematical models which describes the error-free behavior of equipment in various modes of operation. To build it, the ideology of the Hotelling T2 Control Charts is used. The model value is calculated by means of the state matrix and using the similarity operator for each measured value. The residual and standard deviation are calculated using the difference between the reference and actually measured values for each parameter. Residuals are normalized and the integral criterion of technical condition T2 is calculated on an aggregate basis. Owing to analyzing the T2 criterion, changes in the technical condition of equipment are predicted and all possible dependences of parameters are monitored.<ref name='jcement'>https://jcement.ru/magazine/vypusk-1-2021/perspektivy-ispolzovaniya-sistemy-prediktivnoy-diagnostiki-v-tsementnoy-promyshlennosti/</ref> | ||
PRANA identifies and ranks the contribution of each technological parameter along with predicting the parameters’ going beyond their technological limits.<ref name="автоссылка4" /> As soon as the system has accumulated and analyzed the statistics, it becomes possible to generate rules for the automatic detection of faulty units and components.<ref name=":1" /><ref name="автоссылка2" /><ref name=" | PRANA identifies and ranks the contribution of each technological parameter along with predicting the parameters’ going beyond their technological limits.<ref name="автоссылка4" /> As soon as the system has accumulated and analyzed the statistics, it becomes possible to generate rules for the automatic detection of faulty units and components.<ref name=":1" /><ref name="автоссылка2" /><ref name="erp" /> | ||
=== System functions === | === System functions === | ||
PRANA features the following functions: | PRANA features the following functions:<ref name=":1" /> | ||
* Building of reference mathematical models for various modes of the equipment operation with due consideration to its individual characteristics. | * Building of reference mathematical models for various modes of the equipment operation with due consideration to its individual characteristics. | ||
* Automatic indication and notification (sms, email) of any changes in the monitored parameters as compared with the reference ones. | * Automatic indication and notification (sms, email) of any changes in the monitored parameters as compared with the reference ones. | ||
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* Predicting the service life of units. | * Predicting the service life of units. | ||
* Backup storage for repository data. | * Backup storage for repository data. | ||
* Secure remote access to data on the equipment operation on a real time basis. | * Secure remote access to data on the equipment operation on a real time basis.= | ||
== References == | == References == | ||