PROJECT TITLE :

Failure Analysis of Induction Motors: Magnetic Wedges in Compression Stations

ABSTRACT :

This article presents the failure analysis and field measurements of 5 seven,500-hp induction motors driving reciprocating compressors for a natural gas compression station. The failure analysis examined fan design, vibration, motor-operating temperature, compressor loading profile, range of motor starts, and ambient temperature. A comparison between direct on-line motor beginning and soft beginning using an adjustable speed drive (ASD) and also the impact on motor performance are presented. The settings and historical knowledge gathered from the microprocessor protection relay for the motors are also covered and mentioned.


Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here

PROJECT TITLE : Attention in Reasoning Dataset, Analysis, and Modeling ABSTRACT: Although attention has become an increasingly popular component in deep neural networks for the purpose of both interpreting data and improving
PROJECT TITLE : An Explainable Transformer-Based Deep Learning Model for the Prediction of Incident Heart Failure ABSTRACT: It can be difficult to make accurate predictions about the occurrence of complex chronic conditions
PROJECT TITLE :Cost-Optimal Caching for D2D Networks With User Mobility: Modeling, Analysis, and Computational Approaches - 2018ABSTRACT:Caching well-liked files at the user equipments (UEs) provides an efficient way to alleviate
PROJECT TITLE :Design, Analysis, and Implementation of ARPKI: An Attack-Resilient Public-Key Infrastructure - 2018ABSTRACT:This Transport Layer Security (TLS) Public-Key Infrastructure (PKI) is based on a weakest-link security
PROJECT TITLE :Low Frequency Impedance Monitoring and Corresponding Failure Criteria for Aluminum Electrolytic Capacitors - 2017ABSTRACT:Condition monitoring of aluminum electrolytic capacitors (AECs) is crucial for predictive