Performance monitoring and analysis for predictive maintenance of a circular knitting machine
| dc.contributor.advisor | Bhuian, Mohammed Belal Hossain | |
| dc.contributor.advisor | Rasheduzzaman, Mirza | |
| dc.contributor.advisor | Rahman, Md. Mosaddequr | |
| dc.contributor.author | Showrov, Farhan Noor | |
| dc.contributor.author | Haque, Mohammad Asiful | |
| dc.contributor.author | Mahmud, Khaleed | |
| dc.contributor.author | Jonayed, Khondaker Labib Al | |
| dc.contributor.department | Department of Electrical and Electronic Engineering | |
| dc.date.accessioned | 2025-06-25T10:49:24Z | |
| dc.date.available | 2025-06-25T10:49:24Z | |
| dc.date.copyright | 2025 | |
| dc.date.issued | 2025-05 | |
| dc.description | Cataloged from PDF version of final year design project. | |
| dc.description | Includes bibliographical references (page 80). | |
| dc.description | This final year design project is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2025. | en_US |
| dc.description.abstract | The objective of this research is to implement a system that tracks and analyzes real-time events to improve the performance and reliability of circular knitting machines in shirt, legging and sportswear production. These technological advances have not replaced the need for manual inspections. This leads to problems that go unnoticed, sudden breakdowns and lost production. By using temperature, RPM, current, voltage, humidity, airflow and lubrication sensors, the proposed system utilizes predictions to identify potential problems early on. Besides, being able to observe systems remotely will make it easier to oversee everything and make quicker data-based decisions. To be one step further to predictive maintenance from conventional approach in order to enhance the machine reliability, to keep the constant fabric quality, as well as to promote more ecological manufacturing of the garment products. This is an innovation that should improve efficiency and competitiveness in the textile industry, particularly in the large market of ready-made garments such as that in Bangladesh. | en_US |
| dc.description.degree | B.Sc. in Electrical and Electronic Engineering | |
| dc.description.statementofresponsibility | Farhan Noor Showrov | |
| dc.description.statementofresponsibility | Mohammad Asiful Haque | |
| dc.description.statementofresponsibility | Khaleed Mahmud | |
| dc.description.statementofresponsibility | Khondaker Labib Al Jonayed | |
| dc.format.extent | 99 pages | |
| dc.identifier.other | ID 20321037 | |
| dc.identifier.other | ID 20121037 | |
| dc.identifier.other | ID 20221038 | |
| dc.identifier.other | ID 20321002 | |
| dc.identifier.uri | http://hdl.handle.net/10361/26370 | |
| dc.language.iso | en | en_US |
| dc.publisher | BRAC University | en_US |
| dc.rights | BRAC University project reports are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. | |
| dc.subject | Circular knitting machine | en_US |
| dc.subject | Performance monitoring | en_US |
| dc.subject | Predictive maintenance | en_US |
| dc.subject | Real-time data tracking | en_US |
| dc.subject | Sensor-based monitoring | en_US |
| dc.subject | Remote monitoring | en_US |
| dc.subject | Textile manufacturing | en_US |
| dc.subject | Machine reliability | en_US |
| dc.subject.lcsh | Machine knitting. | |
| dc.subject.lcsh | Evaluation research (Social action programs)--Bangladesh. | |
| dc.subject.lcsh | Real-time data processing. | |
| dc.subject.lcsh | Textile industry--Bangladesh. | |
| dc.title | Performance monitoring and analysis for predictive maintenance of a circular knitting machine | en_US |
| dc.type | Project Report | en_US |