Vibration analysis for predictive maintenance of optical fiber cable production line

Loading...
Thumbnail Image

URL

Journal Title

Journal ISSN

Volume Title

Insinööritieteiden korkeakoulu | Master's thesis

Date

2024-05-20

Department

Major/Subject

Mcode

Degree programme

Master's Programme in Mechanical Engineering (MEC)

Language

en

Pages

72

Series

Abstract

The maintenance challenges posed by complicated machinery became evident as the downtime of the machines caused manufacturing halts. Vibration analysis is one of the proven methods in fault detection in a variety of dynamic components. However, lack of experimental data on actual machinery in comparison to test bench devices, has made it difficult for a reliable fault detection and lifetime assessment. To this end, the effectiveness of vibration analysis for fault detection in a half-submerged module on fiber optic cable manufacturing was studied through theoretical methods, measurement techniques, mathematical tools, and a series of experiments. Vibration sensors recorded acceleration data from the device in key locations. The mathematical tools which were based on the Discrete Fourier Analysis and High Frequency resonant technique were used to decompose the vibration data. Also, time domain parameters were also studied for general condition of the system and correlation to faults and comparison. The mechanical system and its drivetrain were analyzed for key characteristic frequencies to detect belt defects, unbalanced masses and bearing faults. Then, a series of tests was carried out by introducing defects to the system to study the effectiveness of the proposed method to discover artificial defects and correlation to defect sizes. The vibration analysis, in the case of this work, proved to be a very accurate method for precision fault detection and partially successful in case of defect size. The method used for the analysis can be used to track the lifetime of the specific components and can be further used for predictive maintenance purposes.

Description

Supervisor

Kuosmanen, Petri

Thesis advisor

Lahti, Mikko

Keywords

vibration analysis, discrete Fourier transform, FFT, HFRT, bearing defects, belt defects

Other note

Citation