Mechmine and Yazzoom announced that they have entered into a partnership agreement to offer together a broad portfolio of advanced predictive maintenance solutions to the market. The combined offer of Mechmine and Yazzoom is suited for a broader range of predictive maintenance challenges.
Read the press release (pdf)
Mechmine offers turnkey add-on hardware like its edge-device mmBox, sensors and the unique predictive maintenance software platform mmViewer. It delivers fully automated machine- and component health information based on machine physics and kinematics. Yazzoom offers the predictive maintenance software product Yanomaly which is based on a novel machine learning/AI anomaly detection methodology, providing also insight on component health, and is suited for larger production plants with an existing data collection infrastructure. Customers can benefit greatly from the synergies Mechmine and Yazzoom have: best in class signal processing hardware & software for early detection of issues in rotating equipment, and efficient anomaly detection for discovering any deviation from normal operation in large scale machine parks and its processes.
