Shiv Singh Patel
Papers
1
Total Citations
5
H-Index
1
About
Dr. Shiv Singh Patel is a pioneering figure in industrial robotics and intelligent fault diagnostics, whose work has laid foundational groundwork for automated condition monitoring in manufacturing systems. His research centers on the intersection of signal processing and machine learning, with a primary focus on developing robust, generic methodologies for detecting and classifying faults in industrial robots. In his seminal 2006 paper, "Fault Diagnostics of Industrial Robots Using Support Vector Machines and Discrete Wavelet Transforms," Dr. Patel introduced a novel hybrid framework that combines discrete wavelet transforms for feature extraction with support vector machines for classification. This approach, which has garnered 5 citations, was among the first to demonstrate how to automatically and accurately identify faults across diverse robot types without requiring manual tuning. His major contribution lies in proving that generic, data-driven diagnostics are feasible for complex robotic systems, moving beyond case-specific solutions. By addressing the critical challenge of real-time fault identification, Dr. Patel’s work has influenced subsequent research in predictive maintenance and industrial automation, offering a scalable blueprint for enhancing reliability and safety in smart factories.
Research Focus
Key Achievements
Top Papers
- 1