Fault Detection System "Wi-Probe ACCEL&CLOUD"
Improving production efficiency through failure prediction and quality estimation!
Our fault detection system, 'Wi-Probe ACCEL&CLOUD', transmits vibration data from equipment to the cloud, where it undergoes frequency analysis and learns normal patterns through machine learning. During diagnosis, we utilize the MT (Mahalanobis-Taguchi) method to predict failures and degradation, which can help improve production efficiency. <The fault prediction algorithm was jointly developed with Gunma University Graduate School of Science and Technology> 【Features】 ■ Conducts spectrum analysis of vibrations to predict failures or estimate quality ■ Prediction and estimation results can be checked via a web browser ■ Utilizes machine learning to enhance production efficiency *For more details, please download the PDF or feel free to contact us.
- Company：高崎共同計算センター
- Price：Other
