Neural network compensation for sensors
First Claim
1. A method for correcting an output from an electrochemical cell sensor, having an output responsive to a concentration of sensed species in a stream, a pressure and a temperature in an interactive non-linear relationship, comprising the steps of:
- (a) providing an pressure sensor for producing an output responsive to a pressure in proximity to the electrochemical sensor;
(b) providing a temperature sensor for producing an output responsive to a temperature of said electrochemical sensor; and
(c) processing the outputs of the electrochemical sensor, pressure sensor and temperature sensor in a neural network having an output function which compensates said electrochemical sensor for changes in pressure and temperature to indicate a concentration of the sensed species.
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Abstract
A method for correcting an output from an electrochemical cell sensor, having an output responsive to a concentration of sensed species in a stream, a pressure and a temperature in an interactive non-linear relationship, comprising the steps of providing a pressure sensor for producing an output responsive to a pressure in proximity to the electrochemical sensor; providing a temperature sensor for producing an output responsive to a temperature of said electrochemical sensor; and processing the outputs of the electrochemical sensor, pressure sensor and temperature sensor in a neural network having an output function which compensates said electrochemical sensor for changes in pressure and temperature to indicate a concentration of the sensed species. An apparatus is also provided, for compensating an electrochemical sensing apparatus, comprising an electrochemical sensor, being responsive to a sensed species, and an environmental variable; an environmental variable sensor, being responsive to said environmental variable; and a compensation network for producing a compensated output based on an output of said electrochemical sensor based and an output of said environmental variable sensor, said network comprising a neural network.
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Citations
20 Claims
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1. A method for correcting an output from an electrochemical cell sensor, having an output responsive to a concentration of sensed species in a stream, a pressure and a temperature in an interactive non-linear relationship, comprising the steps of:
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(a) providing an pressure sensor for producing an output responsive to a pressure in proximity to the electrochemical sensor; (b) providing a temperature sensor for producing an output responsive to a temperature of said electrochemical sensor; and (c) processing the outputs of the electrochemical sensor, pressure sensor and temperature sensor in a neural network having an output function which compensates said electrochemical sensor for changes in pressure and temperature to indicate a concentration of the sensed species. - View Dependent Claims (2, 3, 4, 5, 6)
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7. An apparatus for compensating an electrochemical sensing apparatus, comprising:
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(a) an electrochemical sensor, being responsive to a sensed species, and an environmental variable; (b) an environmental variable sensor, being responsive to said environmental variable; and (c) a compensation network for producing a compensated output based on an output of said electrochemical sensor and an output of said environmental variable sensor, said network comprising a neural network. - View Dependent Claims (8, 9, 10, 11)
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12. A neural network for temperature and pressure compensating an electrochemical cell sensor responsive to a component of a stream, comprising:
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an electrochemical cell sensor input, a temperature sensor input, and a pressure sensor input; and a neural network compensation network, trained to produce a compensated output representing a stream component concentration from said electrochemical cell sensor input, temperature sensor input and pressure sensor input. - View Dependent Claims (13, 14, 15, 16, 17, 18, 19, 20)
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Specification