Location History:
- Massieux, FR (2008 - 2020)
- Auzelles, FR (2018 - 2020)
Company Filing History:
Years Active: 2008-2020
Title: Innovations of Thierry Mazoyer
Introduction
Thierry Mazoyer is an accomplished inventor based in Massieux, France. He has made significant contributions to the field of machine diagnostics, holding a total of 5 patents. His work focuses on enhancing the efficiency and reliability of monitoring systems for various machines.
Latest Patents
One of his latest patents is titled "Power efficient machine diagnostic monitoring using multiple vibration sensor wireless configuration." This invention involves a wireless monitoring unit that performs condition monitoring associated with a test point location of a host machine. The unit includes a high-performance vibration sensor that is useful for monitoring the host machine for fault conditions. Additionally, it features a second vibration sensor that, while having poorer metrological performance, draws a comparatively insignificant amount of power from the battery. This second sensor periodically takes vibration measurements, which are processed to evaluate whether the machine is eligible for a health assessment. Diagnostic monitoring using the high-performance vibration sensor is enabled only when the host machine is in the eligible state. A low-power temperature sensor provides additional data to guard against false triggers, allowing the processor to distinguish between vibrations from the host machine and those from other machines.
Another notable patent is "Automatic rotating-machine fault diagnosis with confidence level indication." This invention performs automatic fault diagnosis on vibration data sensed from a machine. A set of faults to screen for is identified based on the machine's configuration, with characteristic symptoms associated with each fault. The indications used to diagnose these symptoms are based on analyses of the current vibration data. The diagnosed symptoms are assigned weights according to a Bayesian network, which helps derive a Bayesian probability for the fault. If a fault's Bayesian probability exceeds a threshold value, it is identified as present in the machine. A confidence level is also derived for each fault, based on the similarity between characteristic symptoms.
Career Highlights
Thierry has worked with several notable companies, including Acoem France and 01Db-Metravib, Société Par Actions Simplifiée. His experience in these organizations has contributed to his expertise in machine diagnostics and monitoring technologies.
Collaborations
Thierry has collaborated with professionals such as Bertrand Wascat and Patrick Labeyrie, further enhancing his work in the field of diagnostics.
Conclusion
Thierry Mazoyer's innovative contributions to machine diagnostics demonstrate his commitment to improving technology in this area. His patents reflect a deep understanding of the challenges