System and method for monitoring an industrial production process
OwnerManish Harish Bharati, Phillip Guy Hamilton +2inventors
InventorsManish Harish Bharati, Phillip Guy Hamilton, Nirmal Tatavalli-Mittadar, Eugene Harry Theobald
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Abstract
A system for monitoring an industrial production process includes one or more sensors configured to facilitate generating process data and a processor configured to calculate a value of a monitoring variable using the process data. The monitoring variable is optimized with respect to an abnormal space of a process space. The process space includes process parameters and principle components of a multivariate model of the process. The abnormal space includes a subspace of the process space.
Claims20
A method for monitoring an industrial production process, comprising:
- generating process data;
- and
- calculating a value of a monitoring variable based at least in part on the process data, the monitoring variable being optimized with respect to an abnormal space of a process space, the process space comprising process parameters and principle components of a multivariate model of the process, the abnormal space being a subspace of the process space.
A system for monitoring an industrial production process, comprising:
- at least one sensor configured to facilitate generating process data;
- and
- a processor configured to calculate a value of a monitoring variable using the process data, the monitoring variable being optimized with respect to an abnormal space of a process space, the process space comprising process parameters and principle components of a multivariate model of the process, the abnormal space being a subspace of the process space.
A method for developing a monitoring variable, comprising:
- generating a multivariate model of an industrial production process using process data that corresponds to normal process conditions, the multivariate model comprising process parameters and principle components that provide a process space;
- identifying an abnormal space that is a subspace of the process space using process data that corresponds to abnormal process conditions, the abnormal space comprising a subset of the process parameters and a subset of the principle components;
- and
- developing a monitoring variable as a function of process parameters consisting essentially of the subset of the process parameters and as a function of principle components consisting essentially of the subset of the principle components.
Dependencies are inferred from the claim text.