Riccardo Trentin
INTELLIGENT MOTION SENSOR PLATFORM FOR MEASURING TOOLS.
Rel. Marco Vacca. Politecnico di Torino, Corso di laurea magistrale in Mechatronic Engineering (Ingegneria Meccatronica), 2025
Abstract
This thesis presents the design, development, and experimental validation of an embedded anomaly detection system for vibration and shock monitoring in industrial tools. The project was developed during a curricular internship at Hilti AG, in response to real-world issues observed in the field. Two key challenges motivated this work: first, end users of Hilti’s rotating lasers and positioning layout tools reported unreliable measurements and tool failures caused by undetected shocks or vibrations during operation. Second, the repair centers faced difficulties in determining whether returned tools had been damaged due to misuse (e.g., during transport or storage), making it challenging to fairly apply warranty policies.
To address these issues, a comprehensive set of use cases was defined to represent possible misuse and failure scenarios across the tool’s lifecycle—from job site operation to rental returns
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