Embedded health monitoring system based upon Optimized Neuro Genetic Fast Estimator (ONGFE)
AssigneeAmerican GNC Corporation
InventorsFrancisco J. Maldonado Diaz, Ching-Fang Lin
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AssigneeAmerican GNC Corporation
InventorsFrancisco J. Maldonado Diaz, Ching-Fang Lin
Estimating the term…
A real time kernel for deploying health monitoring functions in Condition Base Maintenance (CBM) and Real Time Monitoring (RTM) systems is disclosed in this invention. The Optimized Neuro Genetic Fast Estimator (ONGFE) allows embedding failure detection, identification, and prognostics (FDI&P) capability by using Intelligent Software Element (ISE) based upon Artificial Neural Network (ANN). ONGFE enables embedded fast and on-line training for designing ANNs, which perform very high performance FDI&P functions. An advantage is the optimization block based on pseudogenetic algorithms, which compensate for effects due to initial weight values and local minimums without the computational burden of genetic algorithms. It provides a synchronization block for communication with secondary diagnostic modules. Also a scheme for conducting sensor data validation is embedded in Smart Sensors (SS). The algorithms are designed for a distributed, scalar, and modular deployment. The system electronics is built upon a network of smart sensors and a health monitoring computer for providing data acquisition capability and distributed computational power.
A system of health monitoring computer (HMC), adapted for communicating with a target system through a sensor network and collecting health data from the target system, and for interactively communicating with secondary diagnostic modules for the target system, comprising:
A method for conducting data validation in cluster of sensors (correlated sensors) embedded in a smart sensor, which is adapted for communicating with a system of health monitoring computer (HMC) having a Optimized Neuro Genetic Fast Estimator ONGFE, comprising the steps of:
Dependencies are inferred from the claim text.