▾ G11 Media Network: | ChannelCity | ImpresaCity | SecurityOpenLab | Italian Channel Awards | Italian Project Awards | Italian Security Awards | ...
InnovationOpenLab

Mitsubishi Electric Develops Physics-Embedded AI for Accurate Estimation of Equipment Degradation from Small Amounts of Training Data

Mitsubishi Electric Corporation (TOKYO: 6503) announced today that it has developed a physics-embedded AI that can accurately estimate equipment degradation using minimal training data. The technology...

Immagine

Reduces maintenance costs while supporting productivity and quality at manufacturing sites

TOKYO: Mitsubishi Electric Corporation (TOKYO: 6503) announced today that it has developed a physics-embedded AI that can accurately estimate equipment degradation using minimal training data. The technology is an outcome of the company’s Neuro-Physical AI initiative within its Maisart® AI program, which emphasizes reliability and safety in the physical world. Leveraging Mitsubishi Electric’s extensive equipment-development expertise, the new technology supports the optimization of manufacturing-site assets to maintain productivity and quality as well as reduce maintenance costs.

Japan’s manufacturing sector is deploying increasingly sophisticated production equipment at a time when the nation’s aging and shrinking population is reducing the number of experienced maintenance technicians. Meanwhile, there is a growing demand for preventive-maintenance solutions that can predict equipment degradation for timely responses, since continued use of degraded equipment can result in equipment failure or defective products. Conventional preventive maintenance typically mimics equipment behavior using mathematical models or simulations to estimate degradation. But this approach requires domain experts with knowledge of physical systems to design degradation-detection mechanisms from scratch, which can require significant time and effort. To address this issue, there is a movement to estimate degradation by training AI with operational data. However, these efforts typically require vast amounts of data to comprehensively cover diverse operating patterns, unit-to-unit variability and installation environments, as well as retraining whenever conditions change, hindering the practical deployment of AI to estimate equipment degradation.

For the full text, please visit: www.MitsubishiElectric.com/news/

Fonte: Business Wire

If you liked this article and want to stay up to date with news from InnovationOpenLab.com subscribe to ours Free newsletter.

Related news

Last News

RSA at Cybertech Europe 2024

Alaa Abdul Nabi, Vice President, Sales International at RSA presents the innovations the vendor brings to Cybertech as part of a passwordless vision for…

Italian Security Awards 2024: G11 Media honours the best of Italian cybersecurity

G11 Media's SecurityOpenLab magazine rewards excellence in cybersecurity: the best vendors based on user votes

How Austria is making its AI ecosystem grow

Always keeping an European perspective, Austria has developed a thriving AI ecosystem that now can attract talents and companies from other countries

Sparkle and Telsy test Quantum Key Distribution in practice

Successfully completing a Proof of Concept implementation in Athens, the two Italian companies prove that QKD can be easily implemented also in pre-existing…

Most read

Beyond the website: Algolia takes on the Next Era of AI-Driven Retail…

Algolia, the AI Search and Retrieval platform trusted by more than 18,000 businesses and millions of developers worldwide, today announced that Algolia…

Allianz and Anthropic Forge Global Partnership to Advance Responsible…

Allianz SE and Anthropic today announced a global partnership to accelerate the adoption of responsible Artificial Intelligence (AI) at Allianz. The collaboration…

Chai Discovery Announces Collaboration with Eli Lilly and Company to Accelerate…

Chai Discovery, the AI company building a computer-aided design suite for molecules, today announced a collaboration with Eli Lilly and Company (Lilly)…

Revvity Collaborates with Lilly to Expand Access to AI Drug Discovery…

Revvity, Inc. (NYSE: RVTY) today announced a collaboration with Eli Lilly and Company (Lilly) that expands access to Lilly’s high-quality predictive models…

Newsletter signup

Join our mailing list to get weekly updates delivered to your inbox.

Sign me up!