FutureMain Pivots to Acoustic AI to Strengthen ExRBM Predictive Maintenance Competitiveness
TECHWORLD ·
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FutureMain is pursuing cooperation with SoundNodes, a Belgian acoustic AI specialist, to advance AI-based equipment diagnostics technology.
The two companies recently signed an NDA and are discussing ways to combine FutureMain's vibration-based equipment diagnostics technology with SoundNodes' acoustic AI technology.
FutureMain plans to advance ExRBM into a multimodal equipment diagnostics technology that incorporates acoustic data around vibration, and to link it with RUL prediction and maintenance timing decisions.
FutureMain, an industrial AI-based equipment diagnostics specialist, is pushing to integrate acoustic AI technology. FutureMain is pursuing cooperation with SoundNodes, a Belgian acoustic AI specialist, to advance AI-based equipment diagnostics technology, with the goal of strengthening the competitiveness of its ExRBM predictive maintenance technology.
FutureMain has 37 years of accumulated equipment diagnostics engineering expertise and industrial data accumulation, and it has used that foundation to advance its equipment diagnostics technology centered on vibration analysis. The company has vibration data analysis technology for rotating machinery, which performs equipment condition diagnosis, anomaly detection, and defect type diagnosis. It has also developed and commercialized ExRBM, an AI-based equipment diagnostics solution that combines this diagnostic technology with AI to automatically diagnose a wide range of equipment faults, and ExRBM is being applied at industrial sites in manufacturing, power generation, and petrochemicals.
The two companies recently signed an NDA and are discussing ways to combine FutureMain's vibration-based equipment diagnostics technology with SoundNodes' AI-based acoustic analysis technology. They are also discussing technology cooperation and partnership options as they work to advance AI-based equipment diagnostics technology.
Vibration analysis is a key condition-monitoring technology used to determine the state and faults of rotating machinery. It analyzes whether a fault has occurred, what type of anomaly it is, and what caused it by using minute changes in equipment vibration. FutureMain has accumulated vibration-based equipment diagnostics technology and industrial data, and it has continued to advance ExRBM. The enhancements to ExRBM include AI automatic diagnosis, provision of diagnostic rationale based on XAI, and RUL prediction.
SoundNodes is a Belgian acoustic AI specialist. SoundNodes has AI-based acoustic analysis technology, which identifies and analyzes the unique characteristics and changes in sound. The company's industrial applications have recently been expanding. Areas of expansion include equipment condition monitoring and abnormal sound detection at industrial sites.
FutureMain and SoundNodes are pursuing cooperation. The purpose of this collaboration is to combine FutureMain's vibration-based equipment diagnostics technology with acoustic AI technology. The existing technology precisely diagnoses equipment condition and faults based on vibration analysis, and it will further use acoustic data to comprehensively analyze a wide range of equipment anomaly signals. Through this, the two companies aim to strengthen the competitiveness of AI predictive maintenance technology.
FutureMain is pursuing a strategy to advance its existing ExRBM into a multimodal equipment diagnostics technology based on AI joint analysis of various physical data, including acoustic data, with vibration at the center. Through this, the company plans to continue expanding the scope of AI-based equipment management technology and to push predictive management technology that extends beyond early fault detection and condition analysis to RUL prediction and maintenance timing decisions.
CEO Lee Seon-hwi of FutureMain said vibration analysis is a core equipment diagnostics technology that precisely identifies the condition and faults of industrial equipment. He also said the company has accumulated engineering expertise and industrial data in the field for 37 years. He added that technical cooperation with SoundNodes has made the possibility of combining vibration-based AI equipment diagnostics technology with acoustic AI technology more concrete. He also said the company intends to continue strengthening its competitiveness in AI equipment diagnostics and predictive management technology using various physical data.
Source: TECHWORLD · Kim Kyung-ju
Original: https://www.epnc.co.kr/news/articleView.html?idxno=406786
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Source: TECHWORLD
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