Abstract
As technology has improved in recent years, it has become possible to create new valuable functions by combining various devices and sensors in a network. This concept is referred to as the Internet of Things (IoT), and predictive maintenance is a new valuable function associated with the IoT. In large-scale experimental facilities with many researchers, it is not desirable that experiments cannot be performed due to sudden failure of equipment. For this reason, it is important to predict the failure in advance based on the measurement results of sensors and to perform repairs in a planned manner. On the Q-shu University experiment with steady-state spherical tokamak (QUEST) large experimental device, it is necessary to drive a large current of 50 kA, and the diagnosis of its power line deterioration is well performed as predictive maintenance through the evaluation of its contact resistances of several micro ohms order on the network. In addition, as an example of the IoT, mechanisms to assist safe operation, such as a sound alarm system and an entrance management system, are built by sharing experimental information between devices via the network.
Highlights
Predictive maintenance has become an effective approach for the maintenance of devices [1, 2] based on the concept that problems have to be anticipated and eliminated before they occur
Diagnostics for the deterioration of the toroidal field (TF) power transmission line have been developed as a method of predictive maintenance
An entry management system and a sound alarm system have been developed as examples of Internet of Things (IoT) systems
Summary
Predictive maintenance has become an effective approach for the maintenance of devices [1, 2] based on the concept that problems have to be anticipated and eliminated before they occur. Using QUEST (Figure 1(a)), steady state operation of plasma discharge [6, 7] and current drives by high frequency [8] are being studied, and many researchers from various facilities and organizations can visit the site and join experiments. For this reason, the situation whereby experiments cannot be performed due to device failure must be avoided.
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