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ANALYSIS AND TRAINING OF AN ARTIFICIAL NEURAL NETWORK NETWORK NUCLEAR POWER…

Award Information

Agency:
Nuclear Regulatory Commission
Branch:
N/A
Award ID:
14787
Program Year/Program:
1991 / SBIR
Agency Tracking Number:
14787
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
Netrologic, Inc.
5080 Shorehame Pl, STE 201 San Diego, CA 92122
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 1991
Title: ANALYSIS AND TRAINING OF AN ARTIFICIAL NEURAL NETWORK NETWORK NUCLEAR POWER PLANTACCIDENT DIAGNOSTIC ADVISOR
Agency: NRC
Contract: N/A
Award Amount: $50,000.00
 

Abstract:

THE OBJECTIVE OF THE PROPOSED RESEARCH IS TO DEVELOP AN ARTIFICIAL-INTELLIGENCE FAULT-DIAGNOSTIC SYSTEM THAT WILL CLASSIFY, IN REAL-TIME, NUCLEAR POWER PLANT TRANSIENTS AND PROVIDE ERROR BOUNDS ON ITS DIAGNOSES. THE GOAL IS TO DEVELOP AN ARTIFICIAL NEURAL NETWORK (ANN) PARADIGM THAT IS CAPABLE OF NOT ONLY PROVIDING A PROPER CLASSIFICATION BUT ALSO GIVING A FIGURE OF MERIT FOR ITS ANSWER. THE PROPOSED DIAGNOSTIC ADVISOR WOULD BE INTEGRATED INTO THE PROCESS COMPUTER OR SAFETY PARAMETER DISPLAY SYSTEM. THE ADVISOR'S OBJECTIVE WOULD BE TO WARN AND INFORM PLANT OPERATORS AND ENGINEERS OF PLANT COMPONENT FAILURES IN A TIMELY MANNER. THE OBJECTIVE OF THE PROPOSED RESEARCH IS TO DEVELOP AN ARTIFICIAL-INTELLIGENCE FAULT-DIAGNOSTIC SYSTEM THAT WILL CLASSIFY, IN REAL-TIME, NUCLEAR POWER PLANT TRANSIENTS AND PROVIDE ERROR BOUNDS ON ITS DIAGNOSES. THE GOAL IS TO DEVELOP AN ARTIFICIAL NEURAL NETWORK (ANN) PARADIGM THAT IS CAPABLE OF NOT ONLY PROVIDING A PROPER CLASSIFICATION BUT ALSO GIVING A FIGURE OF MERIT FOR ITS ANSWER. THE PROPOSED DIAGNOSTIC ADVISOR WOULD BE INTEGRATED INTO THE PROCESS COMPUTER OR SAFETY PARAMETER DISPLAY SYSTEM. THE ADVISOR'S OBJECTIVE WOULD BE TO WARN AND INFORM PLANT OPERATORS AND ENGINEERS OF PLANT COMPONENT FAILURES IN A TIMELY MANNER. THE OBJECTIVE OF THE PROPOSED RESEARCH IS TO DEVELOP AN ARTIFICIAL-INTELLIGENCE FAULT-DIAGNOSTIC SYSTEM THAT WILL CLASSIFY, IN REAL-TIME, NUCLEAR POWER PLANT TRANSIENTS AND PROVIDE ERROR BOUNDS ON ITS DIAGNOSES. THE GOAL IS TO DEVELOP AN ARTIFICIAL NEURAL NETWORK (ANN) PARADIGM THAT IS CAPABLE OF NOT ONLY PROVIDING A PROPER CLASSIFICATION BUT ALSO GIVING A FIGURE OF MERIT FOR ITS ANSWER. THE PROPOSED DIAGNOSTIC ADVISOR WOULD BE INTEGRATED INTO THE PROCESS COMPUTER OR SAFETY PARAMETER DISPLAY SYSTEM. THE ADVISOR'S OBJECTIVE WOULD BE TO WARN AND INFORM PLANT OPERATORS AND ENGINEERS OF PLANT COMPONENT FAILURES IN A TIMELY MANNER.

Principal Investigator:

Dan Greenwood
President
0

Business Contact:

Small Business Information at Submission:

Netrologic Inc
5080 Shoreham Place Suite 201 San Diego, CA 92122

EIN/Tax ID:
DUNS: N/A
Number of Employees: N/A
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No