Sensor Failure Recovery using Multi Look-back LSTM Algorithm in Industrial Internet of Things
Ade Pitra Hermawan, Dong‐Seong Kim, Jae‐Min Lee · 2020
In this paper, an algorithm to recover failure sensor data in real-time is proposed. In the current factory automation trends, each device senses the information directly, where humans are no longer involved in huge part of the task. The ability of the system to detect the failure in the device is one of the crucial issues as well as the ability to recover the data of the device when failure happens. The deep learning technique is proposed to learn the behavior of the sensor and to provide exact data as a recovery when the failure occurred. This scenario can be applied along with a faulty detection technique to provide seamless solutions in the current industrial environment.