Back close

Cloud based hybrid pattern recognition approach for fault diagnosis of motor driven rotating machines using motor current signature analysis

Start Date: Thursday, Sep 01,2016

School: School of Engineering, Coimbatore

Project Incharge:DRDO (ER & IPR)
Cloud based hybrid pattern recognition approach for fault diagnosis of motor driven rotating machines using motor current signature analysis

The project titled Cloud based hybrid pattern recognition approach for fault diagnosis of motor driven rotating machines using motor current signature analysis, is funded by DRDO (ER & IPR). The investigators of project are Dr. M. Saimurugan, Dr. K. I. Ramachandran, Dr. K. Rameshkumar and P. Krishnakumar.

Related Projects

Design and Synthesis of Peptide Nucleic Acids (PNA, Artificial DNA) Having Makers for Easy Recognition of PNA-DNA Binding
Design and Synthesis of Peptide Nucleic Acids (PNA, Artificial DNA) Having Makers for Easy Recognition of PNA-DNA Binding
Measurement of Burning Velocities of Hydrocarbon Hydrogen Mixtures and Application to Premixed Laminar Burner Design
Measurement of Burning Velocities of Hydrocarbon Hydrogen Mixtures and Application to Premixed Laminar Burner Design
Malware detection using FPGA, Sandboxing and Machine Learning
Malware detection using FPGA, Sandboxing and Machine Learning
Treatment of Pharmaceutical and personal care products (PPCPs) using Advanced Oxidation Process
Treatment of Pharmaceutical and personal care products (PPCPs) using Advanced Oxidation Process
Super resolution of Images for Breast Cancer from Mammography Images
Super resolution of Images for Breast Cancer from Mammography Images
Admissions Apply Now