Nadogradnja laboratorijskog sustava za ubrzanu degradaciju stanja ležajeva računalnim sustavom za prikupljanje i obradu podataka

master's thesis

• Title (english): Upgrade of the laboratory system for the accelerated degradation of the state of the bearings with a computer system for data collection and processing
• Author: Karlo Mišković
• Mentor: Davor Kolar (mentor)
• Granter: University of Zagreb; Faculty of Mechanical Engineering and Naval Architecture; Zagreb
• Defense date and country: 2025-02-06, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Mechanical Engineering; Production Mechanical Engineering

Abstract

U ovom diplomskom radu istražuje se nadogradnja laboratorijskog uređaja za ubrzanu degradaciju stanja ležajeva u sveobuhvatni sustav za prognozirano održavanje, kroz razvoj računalnog sustava za prikupljanje, pohranu i vizualizaciju podataka sa senzora.
Cilj rada bio je izraditi sustav koji omogućuje precizno praćenje stanja ležajeva u stvarnom vremenu te podržava analizu podataka i donošenje odluka u kontekstu prediktivnog održavanja. Sustav koristi LabJack T7 Pro, integriran u postojeći laboratorijski uređaj, te suvremene web tehnologije za optimizaciju procesa eksperimentiranja i analize podataka.
Raspravlja se o doprinosima ključnih tehnologija kao što su FastAPI, React, TypeScript i MySQL, uz naglasak na njihovu integraciju u razvoj funkcionalnog i pouzdanog sustava. Opisuje se arhitektura sustava, uključujući konfiguraciju uređaja, pripremu za eksperimente, prikupljanje podataka i njihovu vizualizaciju, s posebnim naglaskom na korisničku primjenu i donošenje odluka na temelju stvarnih podataka.
Osim tehničkog pregleda, dokument analizira proces instalacije i postavljanja sustava te pruža smjernice za konfiguraciju i interpretaciju rezultata. Također su obrađeni izazovi poput kalibracije senzora i osiguravanja konzistentnosti podataka. Predložena su buduća poboljšanja, uključujući naprednu analizu podataka, prilagodbu sučelja te uvođenje automatske kalibracije senzora.
Zaključno, rad ističe važnost integracije hardverskih i softverskih komponenti za povećanje učinkovitosti i točnosti prognostičkih sustava u industrijskim primjenama.

Abstract (english)

This thesis explores the upgrade of a laboratory device for accelerated bearing degradation into a comprehensive system for predictive maintenance, achieved through the development of a computer system for data acquisition, storage, and visualization.
The goal was to design a system capable of precise real-time monitoring of bearing conditions, supporting data analysis and decision-making in predictive maintenance contexts. The system integrates the LabJack T7 Pro device into the existing laboratory setup and utilizes modern web technologies to optimize experimentation and data analysis.
The document discusses the contributions of core technologies, such as FastAPI, React, TypeScript, and MySQL, with an emphasis on their role in building a functional and reliable system. It provides an architectural overview, detailing device configuration, experiment setup, data collection, and visualization, highlighting the system’s impact on informed decision-making based on real-world data.
In addition to the technical overview, the thesis examines the installation and configuration processes and offers guidelines for interpreting experimental results. Challenges such as sensor calibration and data consistency are addressed, along with proposals for future improvements, including advanced data analytics, customizable interfaces, and automated sensor calibration.
In conclusion, this study underscores the importance of integrating hardware and software components to enhance the efficiency and accuracy of prognostic systems in industrial applications.

• Keywords: LabJack T7 Pro; web aplikacija; prikupljanje podataka; vizualizacija podataka; prediktivno održavanje
• Keywords (english): LabJack T7 Pro; web application; data acquisition; data visualization; predictive maintenance
• Language: croatian
• URN:NBN: urn:nbn:hr:235:124216
• Study programme: Title: Mechanical Engineering; specializations in: Design, Process and Energy Engineering, Production Engineering, Engineering Modelling and Computer Simulation, Marine Engineering, Industrial Engineering and Management, Materials Engineering, Mechanics and Robotics, Autonomous Systems, Mechatronics and Robotics; Course: Industrial Engineering and Management; Study programme type: university; Study level: graduate; Academic / professional title: sveučilišni/a magistar/magistra inženjer/inženjerka strojarstva (sveučilišni/a magistar/magistra inženjer/inženjerka strojarstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Open access
• Created on: 2025-01-29 22:36:07