Title page for etd-0527126-143314

URN	etd-0527126-143314	Statistics	This thesis had been viewed 2 times. Download 0 times.
Author	HSIEH PANG-CHENG
Author's Email Address	No Public.
Department	Institute Of Mechanical Engineering
Year	2025	Semester	2
Degree	Master	Type of Document	Master's Thesis
Language	zh-TW.Big5 Chinese	Page Count	87
Title	Research on Vibration Signal Analysis and Abnormality Detection Methods During the Operation of Pneumatic Cylinders
Keyword	Anomaly detection Vibration signal analysis Pneumatic cylinder Pneumatic cylinder Vibration signal analysis Anomaly detection
Abstract	Abstract In automated production environments, pneumatic cylinders serve as critical actuators, and their operating conditions are closely related to production efficiency and system reliability. During long-term operation, seal wear and gas leakage are common degradation and failure modes that may lead to unexpected downtime if not identified in a timely manner. To address the limitations of conventional maintenance strategies, this study proposes a vibration-based anomaly detection approach for pneumatic cylinders to support early fault identification and intelligent maintenance. A standardized experimental platform was established to acquire vibration signals under normal conditions as well as seal wear and air leakage states using a high-sensitivity accelerometer. Features extracted from time, frequency, and time–frequency domains were integrated with supervised machine learning models for automated anomaly classification
Advisor Committee	Kun-Ling Wu - advisor Cheng Kuang-Huang - co-chair none - co-chair
Files	etd-0527126-143314.pdf indicate in-campus access at 1 years and off-campus access at 1 years
Date of Defense	2026-05-27	Date of Submission	2026-05-27

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