Patent ID: 11934183
Assignee: TATA CONSULTANCY SERVICES LIMITED
Field: Control (Instruments)
Classification: CPC G | IPC G

Claim 14:
15. A computer program product comprising a non-transitory computer readable medium having a computer readable program embodied therein, wherein the computer readable program, when executed on a computing device, causes the computing device to:
receive a plurality of multivariate time series data pertaining to an industrial unit;
subset a plurality of key variables from the plurality of multivariate time series data;
segment the multivariate time series data pertaining to the plurality of key variables based on a predefined window size in the temporal direction;
compute a masked time series data by applying a mask on the segmented time series data, wherein the mask corresponds to the presence and absence of data in the segmented multivariate time series data;
construct a feed data by concatenating a plurality of metadata associated with the industrial unit with the masked time series data, wherein the metadata comprises qualitative and quantitative data pertaining to the industrial unit;
compute a reconstructed data corresponding to the masked time series data by utilizing a pre-trained machine learning architecture, wherein the pre-trained machine learning architecture is selected based on a model recommendation;
compute a reconstruction error matrix based on the masked time series data and the reconstructed data, wherein a reconstruction error associated with a missing data is removed by utilizing the mask;
compute a mean reconstruction error associated with each of the plurality of sensors in the temporal direction; and
detect an anomaly associated with each of the plurality of key variables based on the corresponding mean reconstruction error, wherein the mean reconstruction error is compared with a corresponding predetermined mean reconstruction error threshold.