Industry Partnership

ITD Lab cooperated with VICEM Institute of Cement Technology to organize a 5-day intensive training program (code VCN.VC.2026.13) for 18 engineers from 7 VICEM member units. The program follows a path from foundation to application: starting from vibration theory and maintenance strategies, through damage diagnosis of rotating equipment assemblies, to Artificial Intelligence methods for diagnostics and predictive maintenance. Highly practice oriented (40% theory · 55% practice · 5% assessment) on real vibration data and open source tools.

• Day 1 — Foundation: role of vibration monitoring, three maintenance strategies (reactive/preventive/predictive according to RUL); Camera vibration theory (amplitude, frequency, phase) and ISO 20816 evaluation standard; Introduction to PHM and Artificial Intelligence.
• Day 2 — Diagnosis of gear train (GMF mesh frequency, transmission errors, sidebands) and roller bearings (BPFO/BPFI/BSF/FTF error frequency, envelope spectrum analysis); PHM/AI continuation: from signal to decision.
• Day 3 — Vertical mill (VRM) diagnosis: structure, damage map by detail cluster, measurement system (Autospectrum, Envelope, Time waveform) and AI with multi-signal sources combining physics - data.
• Day 4 — Smart maintenance assistant using RAG (Retrieval-Augmented Generation); and Machine Learning diagnoses bearing damage on the CWRU dataset: 7-step pipeline, SVM and Random Forest, avoiding data leaks.
• Day 5 — Dynamic unbalance in rotary transmission systems: types of unbalance, identification through vibration analysis (1X peak, 90° phase shift) and dynamic balancing practice in the field.