Inferential signal generator for instrumented equipment and processes
DCFirst Claim
1. A system for monitoring instrumented equipment, comprising:
- a plurality of sensors capable of being monitored from the instrumented equipment;
an information processor;
a data acquisition input to said information processor for receiving operational values descriptive of physical parameters of the system from said plurality of sensors;
a memory operable for being coupled with said data acquisition input for storing a set of time-correlated sensor data representative of expected operational states, and signals observed during operation of the instrumented equipment;
said information processor generating at least one output value descriptive of a parameter of the instrumented equipment in addition to signals observed from said plurality of sensors on the instrumented equipment; and
wherein said information processor uses a similarity operator to obtain a similarity measure between the expected operational states and the observed signals from the instrumented equipment.
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Abstract
An improved system and method for producing replacement sensor signals for failed sensors, and inferred sensor signals for non-instrumented physical parameters, in processes and equipment having one or more sensors in place for monitoring physical parameters. A data history from a fully-instrumented prototype provides a representative data set of anticipated operating parameters for forming an empirical model in a computer module for generating “virtual” signals for a process or machine in real-time. Replacement or inferential sensor signals can be advantageously used in downstream control processing or analysis. 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 actually on the process or machine, and may receive these in real-time. The processor is disposed to take a set of readings of the actual sensors from the input, mid generate an estimate of one or more desired inferred sensors, using a linear combination of the representative training set sensor data, as weighted by the result of a measure of similarity of the input sensor data to the representative training set sensor data.
135 Citations
7 Claims
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1. A system for monitoring instrumented equipment, comprising:
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a plurality of sensors capable of being monitored from the instrumented equipment;
an information processor;
a data acquisition input to said information processor for receiving operational values descriptive of physical parameters of the system from said plurality of sensors;
a memory operable for being coupled with said data acquisition input for storing a set of time-correlated sensor data representative of expected operational states, and signals observed during operation of the instrumented equipment;
said information processor generating at least one output value descriptive of a parameter of the instrumented equipment in addition to signals observed from said plurality of sensors on the instrumented equipment; and
wherein said information processor uses a similarity operator to obtain a similarity measure between the expected operational states and the observed signals from the instrumented equipment. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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Specification