Dardilly, France

Patrick Labeyrie


Average Co-Inventor Count = 3.7

ph-index = 3

Forward Citations = 21(Granted Patents)


Location History:

  • Ventabren, FR (2004)
  • Dardilly, FR (2018 - 2020)

Company Filing History:


Years Active: 2004-2020

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5 patents (USPTO):Explore Patents

Title: Innovations by Patrick Labeyrie

Introduction

Patrick Labeyrie is an accomplished inventor based in Dardilly, France. He has made significant contributions to the field of machine diagnostics, holding a total of five 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. The 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. For each fault, characteristic symptoms are analyzed, and corresponding indications are used to diagnose the symptoms. 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

Throughout his career, Patrick Labeyrie has worked with notable companies such as Acoem France and 01Db-Metravib, Société Par Actions Simplifiée. His expertise in machine diagnostics has made him a valuable asset in the field.

Collaborations

Patrick has collaborated with professionals like Bertrand Wascat and Thierry Mazoyer, contributing to advancements in diagnostic technologies.

Conclusion

Patrick Labeyrie's innovative work in machine diagnostics showcases his commitment to improving monitoring systems through advanced technology. His patents reflect a deep understanding of the challenges in the field and offer practical solutions for efficient machine operation

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