Autonomous IoT for Condition Monitoring, Assessment and Predictive Maintenance ‐ Advances

Integrated Preventive and Predictive Maintenance Markov Model for Circuit Breakers Equipped With Condition Monitoring

The Circuit Breaker (CB) is one of the most important equipment in power systems. CB must operate reliably to protect power systems as well as to perform tasks such as load disconnection, normal interruption, and fault current interruption. Therefore, the reliable operation of CB can affect the security and stability of power network. In this paper, effects of Condition Monitoring (CM) of CB on...

Real-Time Analysis and Condition Monitoring with Predictive Maintenance

Non-Intrusive Monitoring for Condition-Based Maintenance

The Navy’s Integrated Condition Assessment System (ICAS) is continuously evolving to meet the needs of today’s fleet as well as the requirements of future ship designs. This paper describes a technology known as the non-intrusive load monitor that could support the evolution of ICAS and other condition-based maintenance (CBM) systems. The non-intrusive load monitor (NILM) [8, 9, 10] can be used...

SIMAP: Intelligent System for Predictive Maintenance: Application to the health condition monitoring of a windturbine gearbox

SIMAP is the abbreviated name for the Intelligent System for Predictive Maintenance. It is a software application addressed to the diagnosis in real-time of industrial processes. It takes into account the information coming in real-time from different sensors and other information sources and tries to detect possible anomalies in the normal behaviour expected of the industrial components. The i...

Sensorless automated condition monitoring for the control of the predictive maintenance of machine tools

Modern manufacturing systems are characterized by numerous interacting machine tools each with sophisticated maintenance. In order to be competitive, it is possible to reduce the system downtime by applying sensorless automated condition monitoring (SACM). This paper presents newly developed and tested SACM-algorithms based only on signals which are available in position controlled drives such ...