{"id":349,"date":"2026-06-07T17:26:44","date_gmt":"2026-06-07T14:26:44","guid":{"rendered":"https:\/\/neurotechnologijos.com\/services\/nt-adaptive-vas\/"},"modified":"2026-07-18T14:50:06","modified_gmt":"2026-07-18T11:50:06","slug":"nt-adaptive-vass","status":"publish","type":"service","link":"https:\/\/neurotechnologijos.com\/es\/services\/nt-adaptive-vass\/","title":{"rendered":"NT Adaptive \u2122 .VASS"},"content":{"rendered":"<p>Tienen a su disposici\u00f3n dos modelos de VASS NT Adaptive: uno para el diagn\u00f3stico de rodamientos y otro para el diagn\u00f3stico general, la detecci\u00f3n de anomal\u00edas y la identificaci\u00f3n de novedades.<br \/>\nPara la detecci\u00f3n temprana de fallas en equipos industriales se utiliza un algoritmo de autoaprendizaje no supervisado, basado en un algoritmo combinado de an\u00e1lisis vibroac\u00fastico y agrupamiento de se\u00f1ales, seguido de reconocimiento mediante chips neurom\u00f3rficos.<\/p>\n<p>En la etapa de configuraci\u00f3n y entrenamiento, VASS NT Adaptive analiza los datos sin ning\u00fan conocimiento previo sobre los modos de funcionamiento actuales y, cuando la cantidad de modos de funcionamiento analizados de los componentes o conjuntos converge hacia un n\u00famero determinado (a medida que se agrupan los datos de entrada, la cantidad de nuevos cl\u00fasteres deja de crecer), se considera que el dispositivo conoce todos los modos de funcionamiento del equipo.<\/p>\n<p>Si posteriormente VASS NT Adaptive deja de reconocer los modos aprendidos anteriormente, se concluye que existe un nuevo modo de funcionamiento del equipo, hasta entonces desconocido.<br \/>\nDe este modo, el sistema es capaz de detectar tanto modos an\u00f3malos como nuevos, que antes eran desconocidos.<br \/>\nEl proceso de autoaprendizaje nunca se detiene.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Tienen a su disposici\u00f3n dos modelos de VASS NT Adaptive: uno para el diagn\u00f3stico de rodamientos y otro para el diagn\u00f3stico general, la detecci\u00f3n de anomal\u00edas y la identificaci\u00f3n de novedades. Para la detecci\u00f3n temprana de fallas en equipos industriales se utiliza un algoritmo de autoaprendizaje no supervisado, basado en un algoritmo combinado de an\u00e1lisis [&hellip;]<\/p>\n","protected":false},"featured_media":615,"menu_order":0,"template":"","service_category":[60],"class_list":["post-349","service","type-service","status-publish","has-post-thumbnail","hentry","service_category-nt-adaptive"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.8 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Sensor inteligente vibroac\u00fastico<\/title>\n<meta name=\"description\" content=\"VAS es un sensor vibroac\u00fastico inteligente para la supervisi\u00f3n de equipos rotativos, sistemas de trituraci\u00f3n y motores el\u00e9ctricos. 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