Inferential signal generator for instrumented equipment and processes
DCFirst Claim
1. A system for monitoring operational equipment, comprising:
- a sensor capable of being mounted on the equipment for outputting a complex signal comprising component signals;
a signal decomposing acquisition front-end coupled with said sensor for providing a plurality of component signals derived from said sensor; and
an information processor operable in response to said sensor for using the plurality of component signals and one or more of the process parameters with a relationship observed between the plurality of component signals and an instrumented physical parameter of the equipment to generate a parametric signal corresponding to the uninstrumented physical parameters.
1 Assignment
Litigations
0 Petitions
Accused Products
Abstract
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.
-
Citations
25 Claims
-
1. A system for monitoring operational equipment, comprising:
-
a sensor capable of being mounted on the equipment for outputting a complex signal comprising component signals;
a signal decomposing acquisition front-end coupled with said sensor for providing a plurality of component signals derived from said sensor; and
an information processor operable in response to said sensor for using the plurality of component signals and one or more of the process parameters with a relationship observed between the plurality of component signals and an instrumented physical parameter of the equipment to generate a parametric signal corresponding to the uninstrumented physical parameters. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 11, 16, 17, 19)
-
-
10. An inferential signal generator, comprising:
-
a memory for storing a set of time-correlated sensor data representative of expected operational states of a system selected from a process or a machine;
a signal acquisition input for receiving sensor values from said system while in operation, descriptive of physical parameters of said system;
a processor disposed to receive the sensor values from said signal acquisition input, and generate at least one output value descriptive of a parameter of the system that is not among parameters measured by the received sensor values, by comparing the similarity of the sensor values from said signal acquisition input to the set of sensor data in said memory. - View Dependent Claims (12, 13, 14, 15)
-
-
18. A control apparatus for a system selected from a process or machine, comprising:
-
at least one actuator signal line connected to said system for conducting a control signal to said system;
at least one sensor signal line connected to said system for conducting a signal from at least one sensor on said system indicative of a physical parameter of said system;
a memory for storing a set of time-correlated sensor data representative of expected operational states of said system; and
a processor disposed to receive the signal from the at least one sensor signal line, for generating a control signal provided to said actuator signal line, by comparing the similarity of the signal from said sensor signal line to the set of sensor data in said memory to generate at least one computed value descriptive of an physical parameter of said system, on the basis of which said control signal is generated. - View Dependent Claims (20, 22)
-
-
21. A method for generating at least one inferential sensor signal for a system selected from a machine or process, comprising the steps of:
-
instrumenting said system with a first set of sensors and a second set of sensors to measure a plurality of physical parameters of said system;
operating said system in at least one operational state;
acquiring sensor data from said first set of sensors and said second set of sensors for the plurality of physical parameters for the at least one operational state to provide an inferential measure of an uninstrumented physical parameter not among paramaters measured with respect to said second set of sensors;
storing the acquired sensor data from said first set of sensors and said second set of sensors in a memory;
monitoring values of said first set of sensors while said system is in operation; and
computing at least one inferential sensor signal from said second set of sensor signals corresponding to a physical parameter not among those measured by said first set of sensors, by linearly combining the stored sensor data according to a measure of similarity of the monitored sensor values to the stored sensor data.
-
-
23. A computer for generating virtual sensor signals describing a physical system, comprising:
-
a memory for storing a plurality of reference state vectors, each state vector having as elements sensor values descriptive of a physical state of said system;
a first computing module disposed to receive a current state vector describing said physical system, having as elements sensor values corresponding to a subset of sensors in each of said reference state vectors, for comparing the current state vector to each said reference state vector to determine a measure of similarity therebetween; and
a second computing module disposed to receive the measures of similarity between the current state vector and each said reference state vector, and generate from a combination of said reference state vectors as weighted by the measures of similarity, a virtual signal vector having as elements estimates of those sensor values corresponding to sensors in said reference state vectors remaining out of said subset of sensors. - View Dependent Claims (24, 25)
-
Specification