Jayaraman Krishnasamy

Brooks Automation (United States), PerkinElmer (United States)

Papers

2

Total Citations

7

H-Index

2

About

Jayaraman Krishnasamy is a researcher whose work bridges the critical fields of industrial automation, fault diagnostics, and advanced electric motor design. His most impactful contribution, "Fault Diagnostics of Industrial Robots Using Support Vector Machines and Discrete Wavelet Transforms" (2006), with 5 citations, established a foundational method for automatically and accurately identifying faults in industrial robots. This work is pivotal for enhancing the reliability and safety of automated manufacturing systems, offering a generic diagnostic approach applicable to various robot types. More recently, Krishnasamy has advanced the frontier of electric motor technology with his 2023 paper on a compact motor featuring a spray-formed soft-magnetic composite stator core (2 citations). This innovative work demonstrates a novel additive manufacturing process for producing high-performance stator cores in a near-net shape, promising significant improvements in motor efficiency and compactness for applications in robotics and electric vehicles. Through these contributions, Krishnasamy demonstrates a sustained commitment to solving practical engineering challenges, from ensuring the operational integrity of robots to pioneering next-generation electromagnetic devices.

Research Focus

Key Achievements

2
H-Index
2
Papers
7
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Fault Diagnostics of Industrial Robots Using Support Vector Machines and Discrete Wavelet Transforms
5 citations · 2006
📈 Most Prolific Year: 2006 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Brooks Automation (United States), PerkinElmer (United States)

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago