"Predicting Failure Timing with AI" LGU+ Expands AI Predictive Maintenance Service

On the 17th, Seo Jae-yong, Executive Director of LG Uplus (right), and Yoon Byung-dong, CEO of OnePredict, signed a business agreement at the LG Uplus Yongsan headquarters.

[Asia Economy Reporter Koo Eun-mo] LG Uplus is expanding its 'AI-based Predictive Maintenance' service that diagnoses and predicts faults and failures in industrial equipment using artificial intelligence (AI).

On the 17th, LG Uplus announced on the 18th that it signed a memorandum of understanding (MOU) with OnePredict, a company specializing in industrial AI solutions, and promised to expand the scope of the predictive maintenance service starting from the first half of this year.

Predictive maintenance is one of the most active areas of AI utilization in smart factories. AI predictive maintenance is a technology that enhances equipment operational efficiency through AI. OnePredict's solution, which signed the MOU with LG Uplus, analyzes data such as vibration and noise generated from industrial equipment using AI technology to diagnose the condition and predict the timing of failures and remaining useful life. This solution can be applied to predictive maintenance of various equipment such as bearings, gear reducers, pumps, fans, blowers, compressors, and turbines.

LG Uplus plans to expand the scope of the predictive maintenance service, which was previously provided only for some equipment such as motors, to various driving machines through collaboration with OnePredict. The plan is to apply it to various industries by combining the 5G network and integrated control platform with the AI predictive maintenance solution.

Previously, the two companies demonstrated their technological capabilities by carrying out the 'MEC (Mobile Edge Computing)-based 5G Convergence Service Public Sector Leading Application' project, led by the Ministry of Science and ICT and the National Information Society Agency (NIA). Currently, they are also providing a service that predicts equipment failures based on vibration data generated from pumps and motor bearings of small and medium-sized enterprises in the Ulsan industrial complex.

Seo Jae-yong, Executive Director of Smart Infrastructure Business at LG Uplus, said, "Predictive maintenance is one of the core services of smart factories," adding, "By analyzing equipment big data with AI to provide accurate diagnosis and prediction results, we expect to achieve effects such as reducing customers' maintenance costs and improving equipment stability."

This content was produced with the assistance of AI translation services.