With the capability of predictability on equipment health by sensors which may benefits to customers’ manufacturing line with saving cost, capacity maximization, and reducing risk of manufacturing stop. Vibration sensors are widely adopted in different equipment such as lathe, milling machine, ball-screw, and motor to gather their vibration data. By the help of supervised AI machine learning model, we are able to analyze these vibration data and then to classify them to predetermined causes. The noise of vibration sensor is strongly affecting the resolution of sensor and the classification resolution of machine learning model.

In the past decade, we have launched few qualified vibration sensors with both low-noise and wide bandwidth to Taiwan market for applications in industry. Almost each Industrial vibration sensing AI solution is with different features which forces the collaboration between sensor supplier, system integration provider, and user becoming must so as to short the development lead time.