US 2024/0393774 A1 · PROCESS PLANT TRIP OR PERTURBATION PREVENTION

Abstract

Systems and methods for simultaneously analyzing time-series and dominant frequency data from both a process domain and an electrical domain of a facility, such as an industrial plant, to detect instances of deviation from optimal, normal, or other predefined process conditions or electrical trips. Detecting when changes in frequencies occur in the time-series data creates a time-series of the changes in dominant frequencies. A data analysis server detects instances of deviation from the predefined process conditions or electrical trips by detecting one or more of correlations, patterns, clusters, and the like in the rates of change. The data analysis server employs one or more of statistical analyses, data mining, machine learning, deep neural networks, parallel coordinate analyses, etc. to identify the deviations and predict or detect onset of an undesired event such as a process perturbation or electrical trip.

Claims26

Dependent claims

A method of detecting interruptions in operations of a facility, the facility having a process domain and an electrical domain, the method comprising:

receiving first time-series data from the process domain;
receiving second time-series data from the electrical domain;
performing a wavelet transformation on the first and second time-series data to obtain transformed data;
analyzing the transformed first and second time-series data to identify one or more dominant frequency changes over time in at least one of the first time-series data from the process domain and in the second time-series data from the electrical domain;
detecting one or more instances of deviation from predefined conditions in either the process domain or the electrical domain or both based on the identified one or more dominant frequency changes over time, the detected deviation indicating an onset of a facility interruption;
and
in response to detecting the one or more instances of deviation from the predefined conditions indicating the onset of the facility interruption, generating at least one action configured to mitigate the facility interruption.

4 more elements

A system for detecting interruptions in operations of a facility, the facility having a process domain and an electrical domain, the system comprising:

one or more sensors associated with the process domain of the facility providing first time-series data;
one or more sensors associated with the electrical domain of the facility providing second time-series data;
a data analysis processor receiving and responsive to the first and second time-series data;
a memory coupled to the data analysis processor, the memory storing processor-executable instructions that, when executed, configure the data analysis processor for:
performing a wavelet transformation on the first and second time-series data to obtain transformed data;
analyzing the transformed first and second time-series data to identify one or more dominant frequency changes over time in at least one of the first time-series data from the process domain and in the second time-series data from the electrical domain;
detecting one or more instances of deviation from predefined conditions in either the process domain or the electrical domain or both based on the identified one or more dominant frequency changes over time, the detected deviation indicating an onset of a facility interruption;
and
in response to detecting the one or more instances of deviation from the predefined conditions indicating the onset of the facility interruption, generating at least one action configured to mitigate the facility interruption.

6 more elements

Dependencies are inferred from the claim text.

Process plant trip or perturbation prevention

Life of this patent

Process plant trip or perturbation prevention

Life of this patent

Abstract

Claims26