Mooresville, NC, United States of America

Robert K Haseley



Average Co-Inventor Count = 2.2

ph-index = 4

Forward Citations = 358(Granted Patents)


Company Filing History:


Years Active: 1990-1997

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4 patents (USPTO):Explore Patents

Title: The Innovations of Robert K. Haseley

Introduction

Robert K. Haseley is a notable inventor based in Mooresville, NC (US). He has made significant contributions to the field of machine monitoring and predictive maintenance. With a total of four patents to his name, Haseley's work focuses on improving the efficiency and reliability of machinery through innovative methods.

Latest Patents

Haseley's latest patents include a "Method for Collecting Machine Vibration Data." This method provides a systematic approach to determine and predict the current and future condition of machines with rotative elements. It involves storing a predetermined logic routine and key frequencies, sensing mechanical motion, and converting it into electrical signals. The method correlates operational states with these signals to predict machine conditions and control signals accordingly.

Another significant patent is the "Vibration Monitoring System." This predictive system utilizes a microcontroller and sensors to monitor machines. The sensors convert mechanical motion into electrical signals, which are processed by the microcontroller. This system enables the prediction of the condition of rotative elements, enhancing the reliability of machinery.

Career Highlights

Haseley is currently employed at Ingersoll Rand Company, where he applies his expertise in machine monitoring and predictive maintenance. His work has contributed to advancements in the field, making machines more efficient and reliable.

Collaborations

Some of Haseley's notable coworkers include Paul A. Kirkpatrick and Jimmy L. Levan. Their collaboration has likely fostered an environment of innovation and creativity, leading to the development of impactful technologies.

Conclusion

Robert K. Haseley is a distinguished inventor whose work in machine monitoring has led to significant advancements in predictive maintenance. His innovative patents reflect his commitment to improving machinery efficiency and reliability.

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