Defect Diagnosis in Rotors Systems by Vibrations Data Collectors Using Trending Software

TL;DR

This paper discusses using vibration data collection and trending software to diagnose mechanical defects in rotating machinery, enabling quick fault detection and maintenance planning.

Contribution

It introduces a method combining vibration measurements with trending analysis software for effective defect diagnosis in machinery.

Findings

Effective identification of unbalance, misalignment, resonance, and loosening.

Improved fault diagnosis accuracy in rotating machinery.

Enhanced maintenance decision-making based on vibration analysis.

Abstract

Vibration measurements have been used to reliably diagnose performance problems in machinery and related mechanical products. A vibration data collector can be used effectively to measure and analyze the machinery vibration content in gearboxes, engines, turbines, fans, compressors, pumps and bearings. Ideally, a machine will have little or no vibration, indicating that the rotating components are appropriately balanced, aligned, and well maintained. Quick analysis and assessment of the vibration content can lead to fault diagnosis and prognosis of a machine's ability to continue running. The aim of this research used vibration measurements to pinpoint mechanical defects such as (unbalance, misalignment, resonance, and part loosening), consequently diagnosis all necessary process for engineers and technicians who desire to understand the vibration that exists in structures and machines. Keywords- vibration data collectors; analysis software; rotating components.