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Vibration Analysis AI Solution

Contributing to the automation of equipment diagnostics and the reduction of manpower in maintenance. Utilizing trained AI enables rapid deployment.

Our company offers a "Vibration Analysis AI Solution" that utilizes an AI model trained on over 20 years of equipment diagnostic data by skilled diagnosticians. This solution shortens the data collection, tuning, and system construction typically required for creating general AI models, enabling rapid implementation of AI-based equipment diagnostics and maintenance. With newly developed wireless sensors, we continuously monitor equipment and send email alerts when signs of abnormalities are detected. (In addition to the AI model's diagnostics, a comprehensive assessment using traditional methods is also conducted.) 【Features】 - Automation not only for determining normal and abnormal conditions but also for identifying the causes of abnormalities. - Quick implementation on target equipment by leveraging a pre-trained AI model. - Reduced time and costs until the benefits of implementation are realized. - Wireless sensors connect directly to the cloud, allowing centralized management of multiple pieces of equipment. - Broad compatibility with general rotating machinery, pumps, electric motors, and speed increasers/decreasers. *You can view the introduction materials from the "PDF Download" section. For more details, please refer to the materials. Feel free to contact us with any inquiries.

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Our company is capable of building systems that accommodate various environments, such as cloud environments and edge environments on-site, allowing us to realize equipment diagnostic systems tailored to our customers' requests and environments. If you have any questions or concerns regarding the content, please feel free to contact us. 【Contact Information】 Rikei Corporation, Data Analysis Group rikei-iot@rikei.co.jp

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*For more details, please refer to the materials. Feel free to contact us as well.*

Equipment monitoring that evolves with cloud collective intelligence, implemented with multimodal deep learning methods.

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