Alessandro Paolo Daga

Ph.D. in Ingegneria Meccanica , 31st cycle (2015-2018)

Ph.D. obtained in 2019

Dissertation:

Vibration Monitoring: Gearbox identification and faults detection (Abstract)

Tutors:

Luigi Garibaldi Alessandro Fasana

Profile

Research interests

Bearings (machine parts)
Digital signal processing
Machine condition monitoring
Machine diagnostics
Machine learning
Statistical learning
Vibration monitoring

Biography

The researcher’s ongoing studies address the development of diagnostic frameworks for rotating machinery through vibration analysis. By monitoring the machine signature—the characteristic features derived from accelerometer-based vibration signals—over time, it becomes possible to identify the underlying causes of vibration and to anticipate damage or wear in critical components. This line of research builds on two complementary directions: - Advanced signal processing, employed to isolate and enhance damage-sensitive features within complex vibration responses. - Machine learning techniques, applied to automatically detect anomalies and novelties in the extracted features. When operational and environmental confounders are accounted for, such anomalies can be reliably associated with structural degradation. The main objective is the development of a robust, data-driven diagnostic framework that can be integrated into predictive maintenance strategies. Such integration enhances operational safety while simultaneously reducing costs across industrial applications.

Scientific branch

IIND-02/A - Applied Mechanics
(Area 0009 - Industrial and information engineering)

Awards and Honors

Teaching

Collegi of the PhD programmes

  • INGEGNERIA MECCANICA, 2023/2024 (40. ciclo)
    Politecnico di TORINO

Collegi of the degree programmes

Teachings

PhD

MostraNascondi A.A. passati

Master of Science

MostraNascondi A.A. passati

Bachelor of Science

MostraNascondi A.A. passati

Research

Research groups

Research projects

Projects funded by competitive calls

Projects funded by commercial contracts

Supervised PhD students

  • Riccardo Barbera. Programme in Ingegneria Meccanica (cycle 40, 2024-in progress)

Publications

PoliTO co-authors

Last years publications

Publications by type

Works published during the Ph.D. View all publications in Porto@Iris

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