{"id":129606,"date":"2025-03-24T09:30:03","date_gmt":"2025-03-24T14:30:03","guid":{"rendered":"https:\/\/www.controleng.com\/?p=129606"},"modified":"2025-03-24T09:30:04","modified_gmt":"2025-03-24T14:30:04","slug":"sensor-ai-data-analytics-avoids-downtime-saves-energy","status":"publish","type":"post","link":"https:\/\/www.controleng.com\/sensor-ai-data-analytics-avoids-downtime-saves-energy\/","title":{"rendered":"Sensor, AI data analytics avoids downtime, saves energy"},"content":{"rendered":"\n<h2 class=\"wp-block-heading\">Sensor, data analytics insights<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Understand how sensors and analytics use pumps, compressors and turbine data to avoid unplanned downtime; most downtime losses are due to rotating machinery, according to Sunil Vedula, PE, MBA, founder and CEO, Nanoprecise at the 2025 ARC Industry Leadership Forum.\u00a0<\/li>\n\n\n\n<li>Learn five energy centered predictive maintenance steps.<\/li>\n\n\n\n<li>Examine a six-way sensor and analytics with artificial intelligence (AI) that provide predictive maintenance of rotating industrial assets, with applications and benefits.<\/li>\n<\/ul>\n\n\n\n<p>Using smart sensors and intelligent data analysis can save large amounts of energy and related costs in manufacturing and commercial facility rotating machinery applications, according to Sunil Vedula, PE, founder and CEO, <a href=\"http:\/\/www.nanoprecise.io\/\">Nanoprecise<\/a>. Vedula said pumps compressors and turbines provide data to avoid unplanned downtime; most downtime losses are due to rotating machinery, as explained at the 2025 ARC Industry Leadership Forum by <a href=\"http:\/\/www.arcweb.com\">ARC Advisory Group<\/a>.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"819\" height=\"1024\" src=\"https:\/\/www.controleng.com\/wp-content\/uploads\/2025\/03\/CTL2503_WEB_ARC-Nanoprecise-Fig1-sensor-data-analytics-819x1024.jpg\" alt=\"Nanoprecise MachineDoctor is a six-in-one sensor for vibration, acoustic, mag flux, speed, temp and humidity that sends information to data storage and cloud computing. Courtesy: Mark T. Hoske, Control Engineering\" class=\"wp-image-129607\" srcset=\"https:\/\/www.controleng.com\/wp-content\/uploads\/2025\/03\/CTL2503_WEB_ARC-Nanoprecise-Fig1-sensor-data-analytics-819x1024.jpg 819w, https:\/\/www.controleng.com\/wp-content\/uploads\/2025\/03\/CTL2503_WEB_ARC-Nanoprecise-Fig1-sensor-data-analytics-240x300.jpg 240w, https:\/\/www.controleng.com\/wp-content\/uploads\/2025\/03\/CTL2503_WEB_ARC-Nanoprecise-Fig1-sensor-data-analytics-768x961.jpg 768w, https:\/\/www.controleng.com\/wp-content\/uploads\/2025\/03\/CTL2503_WEB_ARC-Nanoprecise-Fig1-sensor-data-analytics-1228x1536.jpg 1228w, https:\/\/www.controleng.com\/wp-content\/uploads\/2025\/03\/CTL2503_WEB_ARC-Nanoprecise-Fig1-sensor-data-analytics-1637x2048.jpg 1637w, https:\/\/www.controleng.com\/wp-content\/uploads\/2025\/03\/CTL2503_WEB_ARC-Nanoprecise-Fig1-sensor-data-analytics.jpg 1945w\" sizes=\"auto, (max-width: 819px) 100vw, 819px\" \/><figcaption class=\"wp-element-caption\">Nanoprecise MachineDoctor is a six-in-one sensor for vibration, acoustic, mag flux, speed, temp and humidity that sends information to data storage and cloud computing. Courtesy: Mark T. Hoske, Control Engineering<\/figcaption><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">Five energy centered predictive maintenance steps<\/h2>\n\n\n\n<p>Vedula said energy centered predictive maintenance steps are:<\/p>\n\n\n\n<p>1. Edge-based anomaly detection on the edge or on the cloud (finding what\u2019s weird).<\/p>\n\n\n\n<p>2. Automated fault diagnosis<\/p>\n\n\n\n<p>3. Automated remaining time to failure<\/p>\n\n\n\n<p>4. Increased energy consumption due to fault<\/p>\n\n\n\n<p>5. Automated root cause and maintenance insight.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"768\" src=\"https:\/\/www.controleng.com\/wp-content\/uploads\/2025\/03\/CTL2503_WEB_ARC-Nanoprecise-Fig2-Sunil-Vedula-mHoske-1024x768.jpg\" alt=\"Sunil Vedula, PE, founder and CEO, Nanoprecise, said pumps compressors and turbines provide data to avoid unplanned downtime; most downtime losses are due to rotating machinery, as explained at the 2025 ARC Industry Leadership Forum by ARC Advisory Group. Courtesy: Mark T. Hoske, Control Engineering\" class=\"wp-image-129608\" srcset=\"https:\/\/www.controleng.com\/wp-content\/uploads\/2025\/03\/CTL2503_WEB_ARC-Nanoprecise-Fig2-Sunil-Vedula-mHoske-1024x768.jpg 1024w, https:\/\/www.controleng.com\/wp-content\/uploads\/2025\/03\/CTL2503_WEB_ARC-Nanoprecise-Fig2-Sunil-Vedula-mHoske-300x225.jpg 300w, https:\/\/www.controleng.com\/wp-content\/uploads\/2025\/03\/CTL2503_WEB_ARC-Nanoprecise-Fig2-Sunil-Vedula-mHoske-768x576.jpg 768w, https:\/\/www.controleng.com\/wp-content\/uploads\/2025\/03\/CTL2503_WEB_ARC-Nanoprecise-Fig2-Sunil-Vedula-mHoske-1536x1152.jpg 1536w, https:\/\/www.controleng.com\/wp-content\/uploads\/2025\/03\/CTL2503_WEB_ARC-Nanoprecise-Fig2-Sunil-Vedula-mHoske-2048x1536.jpg 2048w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\">Sunil Vedula, PE, founder and CEO, Nanoprecise, said pumps compressors and turbines provide data to avoid unplanned downtime; most downtime losses are due to rotating machinery, as explained at the 2025 ARC Industry Leadership Forum by ARC Advisory Group. Courtesy: Mark T. Hoske, Control Engineering<\/figcaption><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">Sensor, analytics for predictive maintenance of rotating industrial assets<\/h2>\n\n\n\n<p>Nanoprecise MachineDoctor is a six-in-one sensor for vibration, acoustic, mag flux, speed, temp and humidity that sends information to data storage and cloud computing. The Nanoprecise MachineDoctor VibAnalyst Agent finds the cause behind data using artificial intelligence (AI) and a predictive analytics algorithm supplies custom outputs in an application programming interface (API) to provide alerts and populate a dashboard, with a more than 50% increase in accuracy over six months ago, Vedula said, providing a generative AI approach to using technology to find and correct energy wasting issues. Cybersecurity measures are embedded in the design.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"621\" src=\"https:\/\/www.controleng.com\/wp-content\/uploads\/2025\/03\/CTL2503_WEB_ARC-Nanoprecise-Fig3-flowchart-MachineDoctor-1024x621.jpg\" alt=\"The Nanoprecise MachineDoctor VibAnalyst Agent finds the cause behind data using artificial intelligence (AI) and a predictive analytics algorithm supplies custom outputs in an application programming interface (API) to provide alerts and populate a dashboard. Courtesy: Mark T. Hoske, Control Engineering\" class=\"wp-image-129609\" srcset=\"https:\/\/www.controleng.com\/wp-content\/uploads\/2025\/03\/CTL2503_WEB_ARC-Nanoprecise-Fig3-flowchart-MachineDoctor-1024x621.jpg 1024w, https:\/\/www.controleng.com\/wp-content\/uploads\/2025\/03\/CTL2503_WEB_ARC-Nanoprecise-Fig3-flowchart-MachineDoctor-300x182.jpg 300w, https:\/\/www.controleng.com\/wp-content\/uploads\/2025\/03\/CTL2503_WEB_ARC-Nanoprecise-Fig3-flowchart-MachineDoctor-768x466.jpg 768w, https:\/\/www.controleng.com\/wp-content\/uploads\/2025\/03\/CTL2503_WEB_ARC-Nanoprecise-Fig3-flowchart-MachineDoctor-1536x932.jpg 1536w, https:\/\/www.controleng.com\/wp-content\/uploads\/2025\/03\/CTL2503_WEB_ARC-Nanoprecise-Fig3-flowchart-MachineDoctor-2048x1242.jpg 2048w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\">The Nanoprecise MachineDoctor VibAnalyst Agent finds the cause behind data using artificial intelligence (AI) and a predictive analytics algorithm supplies custom outputs in an application programming interface (API) to provide alerts and populate a dashboard. Courtesy: Mark T. Hoske, Control Engineering<\/figcaption><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">Growth and industries for energy saving predictive maintenance<\/h2>\n\n\n\n<p>The company recently received $35 million in funding to fuel growth, Vedula said.<\/p>\n\n\n\n<p>Case studies include a water utility with a pump cavitation issue, the Nanoprecise solution lowered energy consumption by 20% after the fix after about $45,000 in electricity was wasted over two years. The cost of a pump doesn\u2019t matter in relation to energy cost, the primary cost over a pump\u2019s lifecycle. Nanoprecise has installed about 20,000 of its sensors. The predictive maintenance solution is being applied to oil and gas, mining, metals, steel, automotive, HVAC and other applications.<\/p>\n\n\n\n<p><strong>Mark T. Hoske<\/strong> is editor-in-chief, <em>Control Engineering, <\/em>WTWH Media<em>,<\/em> <a href=\"mailto:mhoske@wtwhmedia.com\">mhoske@wtwhmedia.com<\/a>.<\/p>\n\n\n\n<p>CONSIDER THIS<\/p>\n\n\n\n<p>What energy are you wasting because of lack of data and knowledge?<\/p>\n\n\n\n<p>ONLINE<\/p>\n\n\n\n<figure class=\"wp-block-embed is-type-wp-embed is-provider-control-engineering wp-block-embed-control-engineering\"><div class=\"wp-block-embed__wrapper\">\n<blockquote class=\"wp-embedded-content\" data-secret=\"RS7Jnew8XO\"><a href=\"https:\/\/www.controleng.com\/gsir-2024-expert-qa-system-integration-challenges-trends\/\">GSIR 2024 expert Q&amp;A: System integration challenges, trends<\/a><\/blockquote><iframe loading=\"lazy\" class=\"wp-embedded-content\" sandbox=\"allow-scripts\" security=\"restricted\" style=\"position: absolute; visibility: hidden;\" title=\"&#8220;GSIR 2024 expert Q&amp;A: System integration challenges, trends&#8221; &#8212; Control Engineering\" src=\"https:\/\/www.controleng.com\/gsir-2024-expert-qa-system-integration-challenges-trends\/embed\/#?secret=dmIt1BHlx5#?secret=RS7Jnew8XO\" data-secret=\"RS7Jnew8XO\" width=\"500\" height=\"282\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\"><\/iframe>\n<\/div><\/figure>\n","protected":false},"excerpt":{"rendered":"<p>Sensor, data analytics insights Using smart sensors and intelligent data analysis can save large amounts of energy and related costs in manufacturing and commercial facility rotating machinery applications, according to Sunil Vedula, PE, founder and CEO, Nanoprecise. Vedula said pumps compressors and turbines provide data to avoid unplanned downtime; most downtime losses are due to [&hellip;]<\/p>\n","protected":false},"author":41,"featured_media":129608,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":true,"pgc_sgb_lightbox_settings":"","footnotes":""},"categories":[104044],"tags":[109831,109828,109826,109827,109340,109996,109997,109995],"tracking-metrics":[],"display-location":[109353],"class_list":{"2":"type-post"},"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.9 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Sensor, AI data analytics avoids downtime, saves energy - Control Engineering<\/title>\n<meta name=\"description\" content=\"ARC Industry Leadership Forum 2025: Nanoprecise CEO Sunil Vedula said AI data analytics use equipment data to avoid unplanned downtime.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.controleng.com\/sensor-ai-data-analytics-avoids-downtime-saves-energy\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Sensor, AI data analytics avoids downtime, saves energy - 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