{"id":11326,"date":"2022-02-10T13:45:49","date_gmt":"2022-02-10T13:45:49","guid":{"rendered":"https:\/\/www.publiteconline.it\/inmotion\/?p=11326"},"modified":"2025-06-17T13:44:43","modified_gmt":"2025-06-17T13:44:43","slug":"implementing-predictive-maintenance-in-wind-turbines","status":"publish","type":"post","link":"https:\/\/www.publiteconline.it\/inmotion\/implementing-predictive-maintenance-in-wind-turbines\/","title":{"rendered":"Implementing predictive maintenance in wind turbines"},"content":{"rendered":"\n<h2 class=\"wp-block-heading\" id=\"premesy-schaeffler-s-innovative-monitoring-system-ensures-longer-service-life-for-rotors-and-reduced-downtimes-in-wind-turbines-the-system-based-on-digital-distance-sensors-monitors-bearing-preload-in-wind-turbines-during-assembly-and-operation-making-it-possible-to-implement-predictive-maintenance\">PREMESY, Schaeffler\u2019s innovative monitoring system, ensures longer service life for rotors and reduced downtimes in wind turbines. The system, based on digital distance sensors, monitors bearing preload in wind turbines during assembly and operation, making it possible to implement predictive maintenance.<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">The rotor shaft bearing support plays a key role in wind turbines. All the forces generated by the wind directly act on these bearings. The rolling bearings are subjected to highly dynamic loads and operating conditions. If the main bearing fails, it results in unscheduled downtime for the entire wind turbine with production losses and high follow-up costs. This is where the newly developed PREMESY preload measuring system from Schaeffler comes into play. Adjusted bearing arrangements are commonly used in modern multi-megawatt wind turbines. This design of bearing offers a high level of reliability coupled with long service times. What is important, however, is that the bearing preload is set as precisely as possible at the assembly stage as well as during operation. The optimum configuration of this preload is determined during the design process on the basis of complex calculations using the finite element method. In practice, however, these settings are rarely checked, if at all, especially after assembly. Any deviations from the bearing preload defined during the design phase are then only identified if the bearings prematurely fail while in operation. Schaeffler PREMESY is the first and only digital system of its kind on the market. It monitors bearing preload at the time of assembly as well as during operation.\u00a0The system is based on high-precision, digital distance sensors, which are monitored by a central unit that is easy to integrate. PREMESY therefore provides the basis for predictive maintenance, since the factors most likely to cause failures can be monitored.<\/p>\n\n\n\n<figure class=\"wp-block-gallery has-nested-images columns-default is-cropped wp-block-gallery-1 is-layout-flex wp-block-gallery-is-layout-flex\">\n<figure class=\"wp-block-image size-large\"><img fetchpriority=\"high\" decoding=\"async\" width=\"800\" height=\"574\" data-id=\"11327\" src=\"https:\/\/www.publiteconline.it\/inmotion\/wp-content\/uploads\/2022\/02\/schaeffler01-1.png\" alt=\"\" class=\"wp-image-11327\" srcset=\"https:\/\/www.publiteconline.it\/inmotion\/wp-content\/uploads\/2022\/02\/schaeffler01-1.png 800w, https:\/\/www.publiteconline.it\/inmotion\/wp-content\/uploads\/2022\/02\/schaeffler01-1-350x251.png 350w, https:\/\/www.publiteconline.it\/inmotion\/wp-content\/uploads\/2022\/02\/schaeffler01-1-130x93.png 130w, https:\/\/www.publiteconline.it\/inmotion\/wp-content\/uploads\/2022\/02\/schaeffler01-1-768x551.png 768w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/><\/figure>\n\n\n\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" width=\"800\" height=\"472\" data-id=\"11328\" src=\"https:\/\/www.publiteconline.it\/inmotion\/wp-content\/uploads\/2022\/02\/schaeffler02-1.png\" alt=\"\" class=\"wp-image-11328\" srcset=\"https:\/\/www.publiteconline.it\/inmotion\/wp-content\/uploads\/2022\/02\/schaeffler02-1.png 800w, https:\/\/www.publiteconline.it\/inmotion\/wp-content\/uploads\/2022\/02\/schaeffler02-1-350x207.png 350w, https:\/\/www.publiteconline.it\/inmotion\/wp-content\/uploads\/2022\/02\/schaeffler02-1-130x77.png 130w, https:\/\/www.publiteconline.it\/inmotion\/wp-content\/uploads\/2022\/02\/schaeffler02-1-768x453.png 768w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/><\/figure>\n<\/figure>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"continuous-monitoring-prevents-failures-and-high-associated-costs\">Continuous monitoring prevents\u00a0failures and high associated costs<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Unplanned failures in wind turbine systems can result in extremely high costs. Besides production losses for several days or even weeks, the repair costs &#8211; especially for offshore plants &#8211; can be between 500,000 euros and 1,000,000 euros. \u201cCorrectly adjusting and monitoring bearing preload is extremely complicated without using PREMESY,\u201d explains Benedikt Neugebauer, expert from the Wind Energy Regional Business Unit at Schaeffler.\u00a0\u201cIf the preload is too high, service life decreases significantly and, in extreme cases, the bearing can overheat. If the preload is too low, it interferes with the smooth kinematic behaviour of the rolling bearings, which can lead to a premature failure of the bearing and, in turn, the entire wind turbine. PREMESY helps to ensure that wind turbines operate without interruption, thereby making a significant contribution towards reliable energy production.\u201d Ahead of the current market launch, PREMESY has already received industry recognition. At the beginning of November 2021, this innovative system won the \u201cSmart Technology Innovation of the Year\u201d category at the Wind Future Awards, organised by the Association of Southeast Asian Nations (ASEAN).<\/p>\n","protected":false},"excerpt":{"rendered":"<p>PREMESY, Schaeffler\u2019s innovative monitoring system, ensures longer service life for rotors and reduced downtimes in wind turbines. The system, based on digital distance sensors, monitors bearing preload in wind turbines during assembly and operation, making it possible to implement predictive maintenance. The rotor shaft bearing support plays a key role in wind turbines. All the &hellip;<\/p>\n","protected":false},"author":9,"featured_media":11321,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[6689],"tags":[],"class_list":["post-11326","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tecnologie"],"openstation_lock":null,"openstation_contributors":[],"openstation_attached_media":[11321,11327,11328],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Implementing predictive maintenance in wind turbines - InMotion<\/title>\n<meta name=\"description\" content=\"PREMESY, il sistema innovativo di monitoraggio di Schaeffler, assicura un aumento della vita operativa dei rotori e una riduzione dei tempi di fermo nelle turbine eoliche\" \/>\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.publiteconline.it\/inmotion\/implementing-predictive-maintenance-in-wind-turbines\/\" \/>\n<meta property=\"og:locale\" content=\"it_IT\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Implementing predictive maintenance in wind turbines - InMotion\" \/>\n<meta property=\"og:description\" content=\"PREMESY, il sistema innovativo di monitoraggio di Schaeffler, assicura un aumento della vita operativa dei rotori e una riduzione dei tempi di fermo nelle turbine eoliche\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.publiteconline.it\/inmotion\/implementing-predictive-maintenance-in-wind-turbines\/\" \/>\n<meta property=\"og:site_name\" content=\"InMotion\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/PubliTec-231229880307485\/\" \/>\n<meta property=\"article:published_time\" content=\"2022-02-10T13:45:49+00:00\" \/>\n<meta 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