Machine health

"Industrial Internet of Things (IoT) and data-driven techniques have been revolutionizing manufacturing by enabling computer networks to gather the huge amount of data from connected machines and turn the big machinery data into actionable information [1], [2], [3]. As a key component in modern manufacturing system, machine health monitoring has fully embraced the big data revolution. Compared to top-down modeling provided by the traditional physics-based models [4], [5], [6], data-driven machine health monitoring systems offer a new paradigm of bottom-up solution for detection of faults after the occurrence of certain failures (diagnosis) and predictions of the future working conditions and the remaining useful life (prognosis) [1], [7]."
Health; Life; Cyberlife; Monitoring; Life prediction; Harm analysis; Risk