PROBABILISTIC PARAMETER ESTIMATION USING FUSED DATA APPARATUS AND METHOD OF USE THEREOF
First Claim
1. An apparatus for estimation of state of a system, comprising:
- an analyzer configured to;
receive discrete first input data, related to a first sub-system of the system, from a first instrument; and
receive discrete second input data, related to a second sub-system of the system, from a second instrument,said analyzer comprising;
a system processor configured to fuse the first input data and the second input data into fused data, said system processor comprising;
a probabilistic processor configured to convert the fused data into at least two probability distribution functions; and
a dynamic state-space model, said dynamic state-space model comprising at least one probabilistic model configured to operate on said at least two probability distribution functions,wherein said system processor iteratively circulates said at least two probability distribution functions in said dynamic state-space model in synchronization with receipt of at least one of;
updated first input data; and
updated second input data,said system processor configured to process the probability distribution functions to generate an output related to the state of the system.
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Accused Products
Abstract
A probabilistic digital signal processor using data from multiple instruments is described. In one example, an analyzer is configured to: receive discrete first and second input data, related to a first and second sub-system of the system, from a first and second instrument, respectively. A system processor is used to fuse the first and second input data into fused data. The system processor optionally includes: (1) a probabilistic processor configured to convert the fused data into at least two probability distribution functions and (2) a dynamic state-space model, the dynamic state-space model including at least one probabilistic model configured to operate on the at least two probability distribution functions. The system processor iteratively circulates the at least two probability distribution functions in the dynamic state-space model in synchronization with receipt of updated input data, processes the probability distribution functions, and generates an output related to the state of the system.
53 Citations
20 Claims
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1. An apparatus for estimation of state of a system, comprising:
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an analyzer configured to; receive discrete first input data, related to a first sub-system of the system, from a first instrument; and receive discrete second input data, related to a second sub-system of the system, from a second instrument, said analyzer comprising; a system processor configured to fuse the first input data and the second input data into fused data, said system processor comprising; a probabilistic processor configured to convert the fused data into at least two probability distribution functions; and a dynamic state-space model, said dynamic state-space model comprising at least one probabilistic model configured to operate on said at least two probability distribution functions, wherein said system processor iteratively circulates said at least two probability distribution functions in said dynamic state-space model in synchronization with receipt of at least one of; updated first input data; and updated second input data, said system processor configured to process the probability distribution functions to generate an output related to the state of the system. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14)
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15. A method for estimating state of a system, comprising the steps of:
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an analyzer receiving; discrete first input data, related to a first sub-system of the system, from a first instrument; and discrete second input data, related to a second sub-system of the system, from a second instrument, a system processor of said analyzer fusing the first input data and the second input data into fused data; a probabilistic processor, of said system processor, converting the fused data into at least two probability distribution functions; and a dynamic state-space model, operating in said system processor, operating on said at least two probability distribution functions with at least one physics based probabilistic model; said system processor iteratively circulating said probability distribution functions in said dynamic state-space model in synchronization with receipt of at least one of; updated first input data; and updated second input data; and said system processor processing the probability distribution functions to generate an output related to the state of the system. - View Dependent Claims (16, 17, 18, 19, 20)
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Specification