Bearings monitoring anytime, anywhere, remote bearing monitoring sensor 'On Trak'

This is an announcement for the 5th online seminar. In previous seminars, we introduced applications such as leak testing and bearing diagnostics as ways to utilize ultrasonic technology for maintenance. This time, we will introduce a new product. It is designed for bearing diagnostics, combining an always-on monitoring system compatible with IoT and an automatic lubrication device. Using ultrasonic technology, it is a new type of automatic lubrication system that supplies the necessary amount of lubricant when the bearing requires it. Many lubrication processes are performed based on time intervals. But is it really effective to use the same cycle every time? The timing and amount of lubrication should vary depending on the operating conditions and environment of the equipment. The product we are introducing this time is an item that can transition lubrication from a "time-based" to a "condition-based" approach. If you are interested, please be sure to watch. Date and Time: February 25, 2021 (Thursday) from 1:30 PM to 2:15 PM Please proceed to register at the URL below. https://zoom.us/webinar/register/WN_G9crqno2Q8OQzQF-nmg85w

This seminar will focus on bearing diagnostics within maintenance applications that utilize ultrasound. It is said that ultrasound is the first technology in predictive maintenance to detect signs of equipment anomalies. We will introduce how ultrasound can be used for monitoring the condition of bearings through several case studies and audio/waveform samples. Additionally, we will present a new IoT-related product that has not been announced in Japan, so please join us. This is a must-attend for those struggling with current maintenance, those looking to start predictive maintenance, and those considering the IoT transformation of maintenance. Date and Time: February 3, 2021 (Wednesday) from 1:30 PM to 2:30 PM This webinar requires prior registration. Registration link: https://zoom.us/webinar/register/WN_rw6_w7QLTlWN991bngcVSw