Predictive maintenance and anomaly detection with ST sensors
Join us for 1-hour webinar to learn how to develop both sides of the condition monitoring equation with ST sensor accuracy and powerful analytical tools
This webinar was broadcasted Tuesday, May 18th 2021
During this one-hour webinar, we will discuss predictive maintenance applications for motors, pumps and other rotating equipment, as well as how dangerous phenomena such as arcing electricity and gas leaks can be detected.
You will learn details about several ST sensors with the accuracy needed for industrial condition monitoring applications, including the latest IIS3DWB vibration sensor, STTS22H temperature sensor and IMP23ABSU ultrasound microphone.
We will also talk about our hardware and software ecosystem featuring anomaly detection function software using AI, code examples for effective high-speed datalogging, and time and frequency domain analyses from a mobile application.
- Predictive Maintenance Overview
- ST key components: vibration sensor, ultrasound microphone, temperature sensor
- New STWIN development tool
- High speed data logging, anomaly detection, Predictive Maintenance and ultrasound capture SW packages
After the webinar, there will be a 15-minute Q&A session where our experts will be available to answer any questions.
Product Marketing Manager for the ST EMEA team in Helsinki. Since Pasi began working for ST in 2008, he has been involved with sensors along with analog and RF components. Today, Pasi is focused mainly on Condition Monitoring and Predictive Maintenance projects with ST's new Industrial sensors. Pasi has master’s degree in Embedded Systems from Tampere University of Technology from 2003.
Application Manager for the ST EMEA team. Since joining ST in 2003, Vladimir has been involved in numerous application projects based on MCUs and MPUs, with special expertise in industrial and wireless connectivity. Since 2008, his key focus has been on MEMS & Sensor solutions, as well as standard analog products and power management applications.