초록 ▼

Inferred sensor signals are generated for uninstrumented physical parameters not among parameters measured in processes and equipment having one or more sensors in place for monitoring physical parameters. Inferential sensor signals can be advantageously used in downstream control processing or anal

Inferred sensor signals are generated for uninstrumented physical parameters not among parameters measured in processes and equipment having one or more sensors in place for monitoring physical parameters. Inferential sensor signals can be advantageously used in downstream control processing or analysis. The inferred sensor signals generated accordingly may be returned to a control system or display system local to the process or machine, or located at the remote location or yet a different remote location. The system can provide expected parameter values, as well as the differences between expected and input signals; or the system can provide raw measures of similarity between the collection of input signals and the collection of acceptable modeled states. A memory for storing the representative training set, or a transformation thereof, is coupled to a processor. The processor receives from an input data signals embodying real values from sensors and is disposed to acquire a complex signal to generate an estimate of one or more desired inferred sensors, using a linear combination of the representative training set sensor data.

대표청구항 ▼

Inferred sensor signals are generated for uninstrumented physical parameters not among parameters measured in processes and equipment having one or more sensors in place for monitoring physical parameters. Inferential sensor signals can be advantageously used in downstream control processing or anal

Inferred sensor signals are generated for uninstrumented physical parameters not among parameters measured in processes and equipment having one or more sensors in place for monitoring physical parameters. Inferential sensor signals can be advantageously used in downstream control processing or analysis. The inferred sensor signals generated accordingly may be returned to a control system or display system local to the process or machine, or located at the remote location or yet a different remote location. The system can provide expected parameter values, as well as the differences between expected and input signals; or the system can provide raw measures of similarity between the collection of input signals and the collection of acceptable modeled states. A memory for storing the representative training set, or a transformation thereof, is coupled to a processor. The processor receives from an input data signals embodying real values from sensors and is disposed to acquire a complex signal to generate an estimate of one or more desired inferred sensors, using a linear combination of the representative training set sensor data.