Montreal, Canada

Moncef Chioua

USPTO Granted Patents = 2 

 

Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2023-2024

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2 patents (USPTO):Explore Patents

Title: Moncef Chioua: Innovator in Equipment Monitoring Technology

Introduction

Moncef Chioua is a notable inventor based in Montreal, Canada. He has made significant contributions to the field of equipment monitoring technology, holding a total of 2 patents. His work focuses on utilizing advanced algorithms to enhance the predictive capabilities of equipment maintenance.

Latest Patents

Moncef Chioua's latest patents include an "Apparatus for Predicting Equipment Damage" and an "Apparatus for Equipment Monitoring." The first patent describes an apparatus that integrates an input unit, processing unit, and output unit. The input unit collects sensor data from equipment, while the processing unit employs machine learning algorithms trained on calibration data to classify the equipment's state. The output unit then communicates the determined state of the equipment. The second patent outlines a system for monitoring equipment that processes batches of temporal sensor data to derive spectral sensor data. This apparatus uses statistical process algorithms to generate index values for each batch, enhancing the monitoring process.

Career Highlights

Moncef Chioua is currently employed at Abb Schweiz AG, where he continues to innovate in the field of equipment monitoring. His work is characterized by a commitment to improving the reliability and efficiency of equipment through advanced technological solutions.

Collaborations

Moncef has collaborated with notable colleagues such as Ido Amihai and Subanatarajan Subbiah, contributing to a dynamic work environment that fosters innovation and creativity.

Conclusion

Moncef Chioua's contributions to equipment monitoring technology exemplify the impact of innovative thinking in engineering. His patents reflect a deep understanding of machine learning and statistical processes, positioning him as a key figure in the advancement of predictive maintenance solutions.

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