Location History:
- Marcilly d'Azergues, FR (2004 - 2020)
- Limonest, FR (2024)
Company Filing History:
3 out of 4 
1 out of 1 
1 out of 1 Years Active: 2004-2025
Title: Innovations of Philippe Poizat
Introduction
Philippe Poizat is a notable inventor based in Marcilly d'Azergues, France. He has made significant contributions to the field of automated diagnostics, particularly in the area of machine monitoring. With a total of 6 patents to his name, Poizat's work exemplifies the intersection of technology and engineering.
Latest Patents
One of Philippe Poizat's latest patents is focused on a vibrating machine automated diagnosis system that utilizes supervised learning. This innovative approach aims to enhance the accuracy of automated diagnoses conducted by monitoring units installed on machines. The monitoring units are responsible for acquiring indicators and performing diagnoses based on a Bayesian model tailored to the machine's known configuration. The system collects raw data, including machine vibration and other diagnostic information. This data is then analyzed to identify specific fault defect assumptions, leading to the generation of automated diagnosis results and an overall health rating for the machine. The results are uploaded to an external environment for expert review and correction. Based on the expert's feedback, the Bayesian model is refined using supervised learning, thereby improving the automated diagnoses performed by the monitoring units.
Career Highlights
Philippe Poizat has worked with several companies throughout his career, including Acoem France and 01Db-Metravib, Société Par Actions Simplifiée. His experience in these organizations has contributed to his expertise in the field of machine diagnostics and monitoring.
Collaborations
Throughout his career, Poizat has collaborated with notable professionals such as Bertrand Wascat and Patrick Labeyrie. These collaborations have further enriched his work and innovations in the field.
Conclusion
Philippe Poizat's contributions to automated diagnostics and machine monitoring reflect his dedication to innovation and technology. His patents and collaborations highlight the importance of continuous improvement in the field of engineering.