Events.
Talks, seminars, and panels featuring the Arpuro team — most are open to the public via the organising host.
Past
- 31 May 2026 – 03 Jun 2026NOMøt oss på Industriuka 2026 i Porsgrunn
1-4. juni er det Industriuka 2026 i Porsgrunn. Grim er der med Arpuro støvsensorer i bag'en; kontakt ham på [email protected] eller +47 934 01 002 for uformell demo.
- 02 Mar 2026 · 11:00–13:00ENGuest Lecture in TTK4240 — Dust Sensing: From Photons to Data
Guest lecture at NTNU — "Dust Sensing: From Photons to Data." Light scattering, the optical particle counter signal chain, and lessons from taking Arpuro from prototype to production.
- 24 Feb 2026 · 16:00–18:00NOKunstig intelligens i prosessindustrien — Erfaringer med KI og ny teknologi for svevestøvmåling
NTVA-arrangement i Grimstad. Gunnar Hansen (Elkem IT) snakker om hvordan KI skaper verdi i prosessindustrien, og Geir Kulia (Signal Analysis Lab) presenterer et sanntids svevestøvmåleinstrument utviklet sammen med Elkem.
- 15 Jan 2025 · 16:00–17:00ENDemystifying the Hilbert-Huang Transform and Its Practical Applications
60-min webinar on the Hilbert-Huang Transform: EMD into IMFs plus Hilbert spectral analysis for non-linear, non-stationary signals.60-min webinar on the Hilbert-Huang Transform: EMD into IMFs plus Hilbert spectral analysis for non-linear, non-stationary signals.
- 12 Dec 2024 · 08:00–15:45ENFrom Automobiles to Offshore Wind: Leveraging Electric-Powertrain Expertise for Energy Innovation
Technical seminar at GCE NODE in Kristiansand on transferring advanced electric-motor technologies from automotive manufacturing to offshore energy. Co-hosted with UiS and Signal Analysis Lab.
- 04 Dec 2024 · 16:00–17:00ENOrder Tracking Simplified—Tachometer vs. Tachometer-Free Approaches
45-min webinar on order tracking for rotating machinery: tachometer-based vs.45-min webinar on order tracking for rotating machinery: tachometer-based vs. tacholess methods using instantaneous frequency estimation. Algorithms, trade-offs, and industrial cases.
- 13 Nov 2024 · 16:00–16:30ENEnhancing Machine Condition Monitoring Using Order Spectrum Analysis
30-min webinar on order spectrum analysis for condition monitoring: detecting and diagnosing faults in rotating machinery, interpreting order vs. frequency spectra, and using results to guide maintenance. For engineers working with machine health and vibration data.