scispace - formally typeset
S

Sayed Mohammad Mousavi Gazafrudi

Researcher at Iran University of Science and Technology

Publications -  5
Citations -  277

Sayed Mohammad Mousavi Gazafrudi is an academic researcher from Iran University of Science and Technology. The author has contributed to research in topics: Computer science & Engineering. The author has an hindex of 2, co-authored 3 publications receiving 185 citations.

Papers
More filters
Journal ArticleDOI

Power Quality Issues in Railway Electrification: A Comprehensive Perspective

TL;DR: This paper presents a perspective on power quality issues through railway electrification development and investigates the necessity of power quality and system requirements for appropriate power quality.
Journal ArticleDOI

A High Accuracy and High Speed Imaging and Measurement System for Rail Corrugation Inspection

TL;DR: A new measurement system based on image processing is proposed to perform the corrugation measurement in a reliable manner, while traditional measurement systems are based on acceleration measurement or chord measurement and they are not reliable due to physical contact or need for knowing the characteristics of the track.
Proceedings ArticleDOI

Techno-economic evaluation of a hybrid PV/wind system with grid/DG/Battery backups for an educational department in Tehran

TL;DR: The results show that grid-connected 150kW PV-110kW converter system is the most economical option among all 36 feasible systems due to supportive policies and subsidizing for renewable retailers in Iran and Cycle Charging (CC) dispatch strategy has more economical result than Load following (LF) dispatch Strategy.
Journal ArticleDOI

Signal-Model-Based Fault Diagnosis in Windings of Synchronous Generator

TL;DR: In this paper , a signal-model-based fault detection, isolation, and estimation approach based on the eigenvalues estimation of synchronous generators (SGs) is presented to diagnose RCSAW fault.
Journal ArticleDOI

Air-gap eccentricity fault detection, isolation, and estimation for synchronous generators based on eigenvalues analysis.

TL;DR: In this paper , a fault diagnosis approach to diagnose the eccentricity fault for synchronous generators (SGs) is presented, where the state matrix eigenvalues based on the subspace identification are estimated, and those are used for fault diagnosis.