Assylbek Kairov
DEFINITION of EFFECTIVE ALARM THRESHOLDS on VIBRATION SIGNALS for PREDICTIVE MAINTENANCE in PRODUCTION PROCESSES.
Rel. Cristiana Delprete, Chiara Gastaldi. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Meccanica (Mechanical Engineering), 2022
Abstract
The thesis aims to develop an effective strategy for condition monitoring of an existing production plant and thus set a framework for predictive maintenance. The condition monitoring will be based on vibration measurement, which uses a set of accelerometers. The goal is to detect significant changes that may lead to developing fault using a limited amount of data, i.e., vibration measurement. One of the main challenges of this thesis work is the definition of an effective methodology to set warning thresholds for the accelerometers combined with different equipment, e.g., compressors, bearings, and speed reducers. Some of the cases mentioned above are covered by ISO standards, while others lack specific guidance.
The first part of the thesis will be devoted to analyzing ISO standards related to industrial maintenance and predictive maintenance
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