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SOFTWARE LICENSING OPPORTUNITY Risk-Informed Condition-Based Predictive Analytics to Optimize Monitoring and Maintenance Strategies This software implements risk-informed, condition-based predictive m... SOFTWARE LICENSING OPPORTUNITY Risk-Informed Condition-Based Predictive Analytics to Optimize Monitoring and Maintenance Strategies This software implements risk-informed, condition-based predictive maintenance, which reduces costs while still maintaining safety and reliability. Opportunity: Idaho National Laboratory (INL), managed and operated by Battelle Energy Alliance, LLC (BEA), is offering the opportunity to enter into a license and/or collaborative research agreement to commercialize the Risk-Informed, Condition-Based Predictive Analytics software. This technology transfer opportunity is part of a dedicated effort to convert government-funded research into job opportunities, businesses and ultimately an improved way of life for the American people. Overview: Some of the early closures of safely operating domestic nuclear power plants were mainly due to economic reasons (i.e., high operation and maintenance costs). For nuclear energy to be competitive with other alternative energy sources, these costs must be reduced. This has been a goal of the nuclear industry for some time and this new software from Idaho National Lab aims to achieve that goal. Description: Researchers at Idaho National Laboratory have developed a new software tool that uses risk-informed predictive analytic capabilities to achieve condition-based monitoring and maintenance strategies to reduce overall maintenance costs. The developed algorithms and codes are used to optimize the maintenance strategy and estimate/forecast generation costs based on the state of health of the plant asset. Developed codes include: Parameter estimation code based on Bayesian inference. Statistical data analysis Feature engineering Health classifier Diagnosis Prognosis Hazard Generation risk Economic Benefits: Reduces the overall monitoring and maintenance costs of running a nuclear power plant. Uniquely tailored to the nuclear industry with plant data, institutional knowledge and plant specific details. Applications: Monitoring and maintenance of nuclear power plants. IP Status: Copyright in software entitled “Risk-informed Predictive Analytics to Achieve Cost-Effective Condition-based Monitoring and Maintenance Strategy,” BEA Docket No. CW-21-49. INL is seeking to license the above intellectual property to a company with a demonstrated ability to bring such inventions to the market. Exclusive rights in defined fields of use may be available. Added value is placed on relationships with small businesses, start-up companies, and general entrepreneurship opportunities. Please visit Technology Deployment’s website at https://inl.gov/inl-initiatives/technology-deployment for more information on working with INL and the industrial partnering and technology transfer process. Companies interested in learning more about this licensing opportunity should contact Andrew Rankin at td@inl.gov.