<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>Arpuro Labs — Field notes</title><description>Calibration methodology, instrument validation, and case studies from continuous particulate-matter monitoring in heavy industry, by the Arpuro Labs engineering team.</description><link>https://blog.arpuro.io/</link><language>en</language><item><title>Diffuse emissions, PM, and industry 4.0: a wry look at development of SOTA 2019-2026</title><link>https://blog.arpuro.io/blog/diffuse-emissions-pm-and-industry-4-0-a-wry-look-at-development-of-sota-2019-2026/</link><guid isPermaLink="true">https://blog.arpuro.io/blog/diffuse-emissions-pm-and-industry-4-0-a-wry-look-at-development-of-sota-2019-2026/</guid><description>In this post I provide a BTS perspective on development of SOTA for PM measurements 2019-2026, based on experiences from a number of R&amp;D projects. This is done on the backdrop of the 2023 report by NEA and Norce about &quot;Monitoring of diffuse emissions to air from industry&quot;.</description><pubDate>Fri, 19 Jun 2026 11:37:00 GMT</pubDate><author>Grim Gjønnes</author></item><item><title>Arpuro Labs takes over from Signal Analysis Lab</title><link>https://blog.arpuro.io/blog/arpuro-labs-employee-owned/</link><guid isPermaLink="true">https://blog.arpuro.io/blog/arpuro-labs-employee-owned/</guid><description>Arpuro Labs is now wholly owned by the engineers who built the dust-monitoring platform at Signal Analysis Lab. The new structure dedicates the company entirely to industrial particulate-matter monitoring.</description><pubDate>Tue, 19 May 2026 09:00:00 GMT</pubDate><category>announcement</category><category>company</category><category>ownership</category></item><item><title>Møt oss på Industriuka 2026 i Porsgrunn</title><link>https://blog.arpuro.io/blog/arpuro-labs-pa-industriuka-2026/</link><guid isPermaLink="true">https://blog.arpuro.io/blog/arpuro-labs-pa-industriuka-2026/</guid><description>1-4. juni er det Industriuka 2026 i Porsgrunn. Grim er der med Arpuro støvsensorer i bag&apos;en; kontakt ham på grimg@crispideas.com eller +47 934 01 002 for uformell demo.</description><pubDate>Fri, 15 May 2026 11:44:00 GMT</pubDate><author>Grim Gjønnes</author></item><item><title>The quest for tangible RoI from the use of generative AI for interpreting dust sensor data in metallurgical industry</title><link>https://blog.arpuro.io/blog/genai-roi-dust-monitoring-2026/</link><guid isPermaLink="true">https://blog.arpuro.io/blog/genai-roi-dust-monitoring-2026/</guid><description>Grim Gjønnes pushes back on the MIT finding that 95% of organisations see no ROI from generative AI. Using Arpuro&apos;s dust-monitoring deployments as case studies, he sketches concrete returns in heavy industry: cleaning costs, avoided failures, smarter capex.</description><pubDate>Fri, 03 Apr 2026 00:00:00 GMT</pubDate><category>generative-ai</category><category>roi</category><category>dust-monitoring</category><category>metallurgy</category><category>industry</category><author>Grim Gjønnes</author></item><item><title>Kunstig intelligens i prosessindustrien — Erfaringer med KI og ny teknologi for svevestøvmåling</title><link>https://blog.arpuro.io/blog/ntva-ki-prosessindustri-svevestov-2026/</link><guid isPermaLink="true">https://blog.arpuro.io/blog/ntva-ki-prosessindustri-svevestov-2026/</guid><description>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.</description><pubDate>Tue, 24 Feb 2026 16:00:00 GMT</pubDate></item><item><title>Guest Lecture in TTK4240 — Dust Sensing: From Photons to Data</title><link>https://blog.arpuro.io/blog/guest-lecture-in-ttk4240-dust-sensing-from-photons-to-data/</link><guid isPermaLink="true">https://blog.arpuro.io/blog/guest-lecture-in-ttk4240-dust-sensing-from-photons-to-data/</guid><description>Guest lecture at NTNU – &quot;Dust Sensing: From Photons to Data.&quot; Light scattering, the optical particle counter signal chain, and lessons from taking Arpuro from prototype to production. </description><pubDate>Fri, 30 Jan 2026 23:48:00 GMT</pubDate></item><item><title>Elektronikknett: industrial dust sensors with ±15% accuracy and no drift after six months</title><link>https://blog.arpuro.io/blog/elektronikknett-arpuro-sensor-accuracy-2025/</link><guid isPermaLink="true">https://blog.arpuro.io/blog/elektronikknett-arpuro-sensor-accuracy-2025/</guid><description>Arpuro PM sensor delivers ±15% accuracy with no drift after 6 months in harsh industrial sites. Site-specific calibration adapts to varied dust chemistries.</description><pubDate>Sat, 01 Nov 2025 00:00:00 GMT</pubDate><category>sensor</category><category>calibration</category><category>field-performance</category></item><item><title>Business Norway: real-time dust monitoring for safer, more sustainable industry</title><link>https://blog.arpuro.io/blog/business-norway-real-time-dust-monitoring/</link><guid isPermaLink="true">https://blog.arpuro.io/blog/business-norway-real-time-dust-monitoring/</guid><description>Business Norway profiles our work on continuous particulate-matter monitoring for industrial operations — connecting worker-health protection, environmental compliance, and operational efficiency into a single instrumented platform.</description><pubDate>Wed, 08 Oct 2025 00:00:00 GMT</pubDate><category>policy</category><category>health-and-safety</category><category>sustainability</category></item><item><title>Eyde Cluster: real-time air-quality insight for process industry</title><link>https://blog.arpuro.io/blog/eyde-cluster-air-quality-2025/</link><guid isPermaLink="true">https://blog.arpuro.io/blog/eyde-cluster-air-quality-2025/</guid><description>The Eyde Cluster writes up our work bringing continuous air-quality data into the process industry. The piece notes the NTNU origins of the technology and support from Innovation Norway and the Research Council of Norway.</description><pubDate>Mon, 02 Jun 2025 00:00:00 GMT</pubDate><category>eyde</category><category>process-industry</category><category>funding</category></item><item><title>Shifter: founder asthma to sensors in fifteen factories</title><link>https://blog.arpuro.io/blog/shifter-asthma-to-15-factories-2025/</link><guid isPermaLink="true">https://blog.arpuro.io/blog/shifter-asthma-to-15-factories-2025/</guid><description>Shifter traces the founding story: Geir Kulia&apos;s chronic asthma as the personal motivation behind building a dust-monitoring company. The piece counts more than fifteen factory deployments and outlines plans for European expansion.</description><pubDate>Tue, 13 May 2025 00:00:00 GMT</pubDate><category>founders</category><category>company-history</category><category>expansion</category></item><item><title>NRK Dagsrevyen: Elkem collaboration on industrial PM sensors</title><link>https://blog.arpuro.io/blog/nrk-dagsrevyen-elkem-collaboration-2025/</link><guid isPermaLink="true">https://blog.arpuro.io/blog/nrk-dagsrevyen-elkem-collaboration-2025/</guid><description>Norway&apos;s national TV news covers our collaboration with Elkem on real-time particulate-matter sensors for furnace floors and material-handling areas — tying together air quality, worker safety, and operational decisions.</description><pubDate>Mon, 24 Mar 2025 00:00:00 GMT</pubDate><category>elkem</category><category>broadcast</category><category>industrial-collaboration</category></item><item><title>NRK Sørlandet: regional coverage of the Elkem PM-sensor work</title><link>https://blog.arpuro.io/blog/nrk-sorlandet-elkem-collaboration-2025/</link><guid isPermaLink="true">https://blog.arpuro.io/blog/nrk-sorlandet-elkem-collaboration-2025/</guid><description>The regional NRK arm covers the same Elkem collaboration with a Sørlandet angle — founder background, the health motivation behind the work, and the broader environmental implications of continuous PM monitoring.</description><pubDate>Mon, 24 Mar 2025 00:00:00 GMT</pubDate><category>elkem</category><category>broadcast</category><category>sorlandet</category></item><item><title>Demystifying the Hilbert-Huang Transform and Its Practical Applications</title><link>https://blog.arpuro.io/blog/demystifying-the-hilbert-huang-transform-and-its-practical-applications/</link><guid isPermaLink="true">https://blog.arpuro.io/blog/demystifying-the-hilbert-huang-transform-and-its-practical-applications/</guid><description>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.</description><pubDate>Wed, 15 Jan 2025 16:00:00 GMT</pubDate><author>Geir Kulia</author></item><item><title>GCE Node: from automobiles to offshore wind</title><link>https://blog.arpuro.io/blog/gce-node-from-automobiles-to-offshore-wind-2024/</link><guid isPermaLink="true">https://blog.arpuro.io/blog/gce-node-from-automobiles-to-offshore-wind-2024/</guid><description>A GCE Node seminar write-up exploring how diagnostics built originally for EV powertrains transfer to offshore-wind reliability — the kind of cross-domain reliability work that underpins our dust-monitoring platform.</description><pubDate>Sun, 15 Dec 2024 00:00:00 GMT</pubDate><category>gce-node</category><category>reliability</category><category>cross-domain</category></item><item><title>Shifter: on the verge of international success (EMNY scaling)</title><link>https://blog.arpuro.io/blog/shifter-emny-international-scaling-2024/</link><guid isPermaLink="true">https://blog.arpuro.io/blog/shifter-emny-international-scaling-2024/</guid><description>Shifter covers the company&apos;s participation in Innovation Norway&apos;s EMNY (Executive Marketing New York) programme — the scaling track for Norwegian startups making the jump to international markets.</description><pubDate>Sun, 15 Dec 2024 00:00:00 GMT</pubDate><category>scaling</category><category>innovation-norway</category><category>emny</category></item><item><title>From Automobiles to Offshore Wind: Leveraging Electric-Powertrain Expertise for Energy Innovation</title><link>https://blog.arpuro.io/blog/gce-node-electric-powertrain-2024/</link><guid isPermaLink="true">https://blog.arpuro.io/blog/gce-node-electric-powertrain-2024/</guid><description>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.</description><pubDate>Thu, 12 Dec 2024 08:00:00 GMT</pubDate></item><item><title>Order Tracking Simplified—Tachometer vs. Tachometer-Free Approaches</title><link>https://blog.arpuro.io/blog/order-tracking-simplified-tachometer-vs-tachometer-free-approaches/</link><guid isPermaLink="true">https://blog.arpuro.io/blog/order-tracking-simplified-tachometer-vs-tachometer-free-approaches/</guid><description>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.</description><pubDate>Sun, 10 Nov 2024 23:34:00 GMT</pubDate></item><item><title>Enhancing Machine Condition Monitoring Using Order Spectrum Analysis</title><link>https://blog.arpuro.io/blog/enhancing-machine-condition-monitoring-using-order-spectrum-analysis/</link><guid isPermaLink="true">https://blog.arpuro.io/blog/enhancing-machine-condition-monitoring-using-order-spectrum-analysis/</guid><description>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.</description><pubDate>Wed, 31 Jul 2024 22:40:00 GMT</pubDate><author>Geir Kulia</author></item><item><title>Arduino: case study on the Arpuro PM monitor</title><link>https://blog.arpuro.io/blog/arduino-case-study-on-the-arpuro-pm-monitor/</link><guid isPermaLink="true">https://blog.arpuro.io/blog/arduino-case-study-on-the-arpuro-pm-monitor/</guid><description>Arduino&apos;s case-study series details the partnership behind our PM sensor — built on the Arduino MKR platform, with self-cleaning intake, multiple connectivity options, and a roadmap that takes the product beyond Norway.</description><pubDate>Mon, 01 Jan 2024 00:00:00 GMT</pubDate><category>arduino</category><category>hardware</category><category>case-study</category></item><item><title>Innoventus Sør: an example to follow on organisational diversity</title><link>https://blog.arpuro.io/blog/innoventus-sor-example-to-follow-2022/</link><guid isPermaLink="true">https://blog.arpuro.io/blog/innoventus-sor-example-to-follow-2022/</guid><description>Innoventus Sør writes up the company&apos;s diversity-focused organisational design work — done in collaboration with Innoventus Sør, GCE NODE, and 07 Sør — as a model for other early-stage Norwegian deeptech teams.</description><pubDate>Mon, 20 Jun 2022 00:00:00 GMT</pubDate><category>organisation</category><category>diversity</category><category>innoventus</category></item><item><title>Prediction of dynamic mooring responses of a floating wind turbine using an artificial neural network</title><link>https://blog.arpuro.io/blog/neural-network-floating-wind-turbine-mooring-2021/</link><guid isPermaLink="true">https://blog.arpuro.io/blog/neural-network-floating-wind-turbine-mooring-2021/</guid><description>A neural-network surrogate for mooring-line tensions on the OC3-Hywind floating wind turbine. Trained on 32 wave states, it reaches ~71% correlation with the reference solver at a fraction of the runtime — useful in early-stage design and fatigue iteration.</description><pubDate>Mon, 01 Nov 2021 00:00:00 GMT</pubDate><category>neural-networks</category><category>floating-wind-turbine</category><category>mooring</category><category>iop</category><author>Geir Kulia</author></item><item><title>Real-time passive control of wave energy converters using the Hilbert–Huang transform</title><link>https://blog.arpuro.io/blog/passive-control-wave-energy-hilbert-huang-2017/</link><guid isPermaLink="true">https://blog.arpuro.io/blog/passive-control-wave-energy-hilbert-huang-2017/</guid><description>A passive-control strategy for wave-energy converters that adapts damping to instantaneous wave frequency rather than using static tuning. HHT supplies the frequency at every sample; the adaptive controller improves energy absorption over fixed-gain in irregular seas.</description><pubDate>Mon, 09 Oct 2017 00:00:00 GMT</pubDate><category>hilbert-huang</category><category>wave-energy</category><category>control</category><category>ifac</category><author>Geir Kulia</author></item><item><title>Understanding instantaneous frequency detection: a discussion of Hilbert–Huang Transform versus Wavelet Transform</title><link>https://blog.arpuro.io/blog/hilbert-huang-vs-wavelet-instantaneous-frequency-2017/</link><guid isPermaLink="true">https://blog.arpuro.io/blog/hilbert-huang-vs-wavelet-instantaneous-frequency-2017/</guid><description>A head-to-head between the Hilbert–Huang transform and discrete wavelet decomposition for instantaneous frequency in non-stationary signals. Tests on synthetic data and real EEG recordings show HHT yielding more interpretable oscillatory components.</description><pubDate>Mon, 18 Sep 2017 00:00:00 GMT</pubDate><category>hilbert-huang</category><category>wavelet</category><category>instantaneous-frequency</category><category>itise</category><category>eeg</category><author>Geir Kulia</author></item><item><title>Simple model for understanding harmonics propagation in single-phase microgrids</title><link>https://blog.arpuro.io/blog/harmonics-propagation-microgrids-2017/</link><guid isPermaLink="true">https://blog.arpuro.io/blog/harmonics-propagation-microgrids-2017/</guid><description>How harmonics cycle between the AC and DC sides of a single-phase PV inverter in islanded operation: feed-forward injects even harmonics on the DC bus; feedback re-injects them as odd AC harmonics. The paper isolates and predicts the self-sustaining pattern.</description><pubDate>Wed, 28 Jun 2017 12:00:00 GMT</pubDate><category>harmonics</category><category>microgrids</category><category>photovoltaic</category><category>iccep</category><author>Geir Kulia</author></item><item><title>Impact of time-varying angular frequency on the separation of instantaneous power components</title><link>https://blog.arpuro.io/blog/time-varying-frequency-power-components-2017/</link><guid isPermaLink="true">https://blog.arpuro.io/blog/time-varying-frequency-power-components-2017/</guid><description>When grid frequency drifts, the textbook active/reactive split of instantaneous power misattributes oscillatory terms. Keeps the decomposition coherent under a time-varying angular frequency, with stand-alone power-system field data as the validation case.</description><pubDate>Wed, 28 Jun 2017 00:00:00 GMT</pubDate><category>power-systems</category><category>microgrids</category><category>instantaneous-power</category><category>iccep</category><author>Geir Kulia</author></item><item><title>NTB: One million-kroner in StudENT grant for eight student founders</title><link>https://blog.arpuro.io/blog/ntb-studentgrunder-million-2016/</link><guid isPermaLink="true">https://blog.arpuro.io/blog/ntb-studentgrunder-million-2016/</guid><description>NTB covers the Research Council of Norway&apos;s StudENT-programme grants — including a NOK 1 million award that bridged the team&apos;s transition from a university project to a real business. The earliest piece of coverage in this archive.</description><pubDate>Thu, 22 Dec 2016 00:00:00 GMT</pubDate><category>ntb</category><category>studentgrunder</category><category>forskningsradet</category></item><item><title>Towards a Real-Time Measurement Platform for Microgrids in Isolated Communities</title><link>https://blog.arpuro.io/blog/real-time-measurement-platform-microgrids-2016/</link><guid isPermaLink="true">https://blog.arpuro.io/blog/real-time-measurement-platform-microgrids-2016/</guid><description>A real-time measurement framework that uses empirical-mode decomposition to extract instantaneous frequency and amplitude from microgrid voltage and current. The grid-connected vs standalone comparison confirms isolated systems are fundamentally more non-stationary.</description><pubDate>Thu, 01 Dec 2016 00:00:00 GMT</pubDate><category>microgrids</category><category>empirical-mode-decomposition</category><category>measurement</category><category>procedia</category><author>Geir Kulia</author></item><item><title>Investigation of distortions in microgrids</title><link>https://blog.arpuro.io/blog/distortions-microgrids-msc-thesis-2016/</link><guid isPermaLink="true">https://blog.arpuro.io/blog/distortions-microgrids-msc-thesis-2016/</guid><description>The MSc thesis Signal Analysis Lab (now Arpuro Labs) was built on. Examines how harmonic distortion, inverter switching artefacts, and load nonlinearities propagate in standalone microgrids — and where Hilbert–Huang reveals time-varying content Fourier flattens out.</description><pubDate>Sat, 15 Oct 2016 00:00:00 GMT</pubDate><category>msc-thesis</category><category>microgrids</category><category>hilbert-huang</category><category>ntnu</category><category>foundation</category><author>Geir Kulia</author></item><item><title>Tool for detecting waveform distortions in inverter-based microgrids: a validation study</title><link>https://blog.arpuro.io/blog/detect-waveform-distortions-microgrids-2016/</link><guid isPermaLink="true">https://blog.arpuro.io/blog/detect-waveform-distortions-microgrids-2016/</guid><description>Validation of an HHT diagnostic tool against measurements from a standalone PV microgrid in Bhutan. Time-varying frequencies and amplitude-modulation patterns invisible to Fourier show up clearly in the empirical-mode decomposition.</description><pubDate>Thu, 13 Oct 2016 00:00:00 GMT</pubDate><category>hilbert-huang</category><category>microgrids</category><category>validation</category><category>ghtc</category><category>bhutan</category><author>Geir Kulia</author></item><item><title>Instantaneous Frequency in Electric Power Systems</title><link>https://blog.arpuro.io/blog/instantaneous-frequency-power-systems-2016/</link><guid isPermaLink="true">https://blog.arpuro.io/blog/instantaneous-frequency-power-systems-2016/</guid><description>A short technical case for treating instantaneous frequency as a fundamental observable, not a derived quantity. Surveys where Fourier and wavelet break down in microgrids and under time-varying loads, and argues for Hilbert–Huang as the right primitive.</description><pubDate>Wed, 01 Jun 2016 00:00:00 GMT</pubDate><category>hilbert-huang</category><category>instantaneous-frequency</category><category>power-systems</category><category>poster</category><category>ntnu</category><author>Geir Kulia</author></item><item><title>On wind turbine failure detection from measurements of phase currents: a permutation entropy approach</title><link>https://blog.arpuro.io/blog/permutation-entropy-wind-turbine-fault-2016/</link><guid isPermaLink="true">https://blog.arpuro.io/blog/permutation-entropy-wind-turbine-fault-2016/</guid><description>Permutation entropy on phase-current measurements as a wind-turbine fault indicator. Where Fourier spectra could not separate healthy from faulty operation, the entropy of ordinal patterns did — a single scalar that tracked degradation without per-fault tuning.</description><pubDate>Fri, 22 Jan 2016 00:00:00 GMT</pubDate><category>permutation-entropy</category><category>fault-detection</category><category>wind-energy</category><category>preprint</category><category>arxiv</category><author>Geir Kulia</author></item></channel></rss>