Bengaluru, India

Mahalakshmi Shunmugham Balasubramaniam


 

Average Co-Inventor Count = 6.1

ph-index = 3

Forward Citations = 22(Granted Patents)


Location History:

  • Karnataka, IN (2015)
  • Bengaluru, IN (2010 - 2020)

Company Filing History:


Years Active: 2010-2020

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6 patents (USPTO):Explore Patents

Title: Mahalakshmi Shunmugham Balasubramaniam: Innovator in Machine Condition Monitoring

Introduction

Mahalakshmi Shunmugham Balasubramaniam is a notable inventor based in Bengaluru, India. He has made significant contributions to the field of machine condition monitoring, holding a total of six patents. His innovative work focuses on systems and methods that enhance the measurement of operative conditions in machines.

Latest Patents

Among his latest patents is a system and method for measuring an operative condition of a machine. This system includes a sensor that contacts a fluid to measure its characteristics. The one or more processors generate data signals representative of the fluid's characteristics, while a transmitter wirelessly communicates these signals to a remote reader. Another notable patent is a wireless system for measuring the operative condition of a machine, which includes a sensor within a reservoir that measures the quantity or quality of the lubricating liquid. The device body, coupled to the sensor, processes the measurements and transmits the data wirelessly.

Career Highlights

Mahalakshmi has worked with prominent companies such as General Electric Company and Ge Global Sourcing LLC. His experience in these organizations has contributed to his expertise in developing innovative solutions for machine monitoring.

Collaborations

He has collaborated with notable coworkers, including Bret Dwayne Worden and Ajith Kuttannair Kumar, further enhancing his work in the field.

Conclusion

Mahalakshmi Shunmugham Balasubramaniam is a distinguished inventor whose work in machine condition monitoring has led to significant advancements. His patents reflect a commitment to innovation and improving operational efficiency in machinery.

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