Company Filing History:
Years Active: 2008-2024
Title: Innovations by Marc David Sousa
Introduction
Marc David Sousa is an accomplished inventor based in McKinney, Texas. He holds six patents, showcasing his expertise in the field of motor technology. His innovative work focuses on predicting motor wear and failures, which has significant implications for various industries.
Latest Patents
One of Sousa's latest patents is titled "Methods and apparatus for detecting aging and predicting failures in BLDC and PMSM motors." This system predicts motor wear and failures before they occur. It collects telemetry data from motors in a motor application and employs predictive algorithms to determine when a motor is aging and when it may fail. Identifying potential failures can help mitigate the risk of other equipment failures and realize cost savings. The motor aging detection system includes one or more DC motors and a motor controller coupled to each motor. The motor controller reads three-phase currents from each motor, converts these currents to digital values, and calculates telemetry data, including applied voltages, back electric-motive force, inductance, and resistance of each motor at periodic intervals. This telemetry data is stored in memory, and an age detection circuit retrieves this information to determine the age factors of the motor.
Career Highlights
Throughout his career, Sousa has worked with notable companies such as Active-Semi, Inc. and Texas Instruments Corporation. His experience in these organizations has contributed to his development as an inventor and has provided him with valuable insights into the industry.
Collaborations
Some of Sousa's coworkers include John Alexander Goodrich-Ruiz and Michael Sean McCormack. Their collaboration has likely fostered an environment of innovation and creativity.
Conclusion
Marc David Sousa's contributions to motor technology through his patents demonstrate his commitment to innovation and problem-solving. His work not only enhances the efficiency of motor applications but also helps in predicting and preventing potential failures, ultimately benefiting various industries.