Dr. Grover Zurita has a post-doctorate from the University of New South Wales, Sydney Australia, 2002. Doctorate in vibrational analysis, applied to rotating equipment (Luleå University of Technology, Sweden). Master in Mechanical Engineering (Luleå University of Technology, Sweden). Bachelor of Mechanical Engineering (Luleå University of Technology, Sweden).
Professional activity: He is currently a research professor at the Bolivian Private University and Prometheus researcher at the Universidad Politécnica Salesiana de Cuenca (Ecuador), 2014 to 2015. He was a visiting professor at “Chongqing Technology and Business University, (China)”, from September–October, 2015. He was the head of the Ing. Electromechanics of the UPB, between 2003 and 2014. Associate professor at the “University of New South Wales”, Sydney-Australia (2002).
Specialty and interest: He is an expert in vibrational analysis and digital signal processing, applied to machine diagnostics, optimization and control of internal combustion engines, condition-based maintenance, and artificial intelligence applications for machine diagnostics.
Research Keywords & Expertise
Digital Signal Process...
machine learning
Condition-Based Mainte...
vibration analysis
Machine diagnosis moda...
Short Biography
Dr. Grover Zurita has a post-doctorate from the University of New South Wales, Sydney Australia, 2002. Doctorate in vibrational analysis, applied to rotating equipment (Luleå University of Technology, Sweden). Master in Mechanical Engineering (Luleå University of Technology, Sweden). Bachelor of Mechanical Engineering (Luleå University of Technology, Sweden).
Professional activity: He is currently a research professor at the Bolivian Private University and Prometheus researcher at the Universidad Politécnica Salesiana de Cuenca (Ecuador), 2014 to 2015. He was a visiting professor at “Chongqing Technology and Business University, (China)”, from September–October, 2015. He was the head of the Ing. Electromechanics of the UPB, between 2003 and 2014. Associate professor at the “University of New South Wales”, Sydney-Australia (2002).
Specialty and interest: He is an expert in vibrational analysis and digital signal processing, applied to machine diagnostics, optimization and control of internal combustion engines, condition-based maintenance, and artificial intelligence applications for machine diagnostics.