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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Scalable Architecture for Anomaly Detection and Visualization in Power Generating Assets · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1701.07500/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/1701.07500/feed.xml" rel="self" type="application/rss+xml" /><item><title>Scalable Architecture for Anomaly Detection and Visualization in Power Generating Assets — mentioned by parasj</title><link>https://news.ycombinator.com/item?id=22514442</link><guid isPermaLink="false">urn:hackerpapers:mention:1701.07500:22514442</guid><pubDate>Sat, 07 Mar 2020 21:57:42 GMT</pubDate><description>&lt;p&gt;Not OP, but I researched scalable anomaly detection systems for power-generating assets. We collaborated with a large industrial engine manufacturer on this work. https://arxiv.org/abs/1701.07500. The key challenge customers encountered was the prevalence of false alarms that led to unnecessary service.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1701.07500/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.DC</category></item></channel></rss>
