Device Discovery Techniques for Industrial Internet of Things Through Predictive Analytic Mechanism
Conference
Pattar, S, Ritika, Vala, D et al. (2020). Device Discovery Techniques for Industrial Internet of Things Through Predictive Analytic Mechanism
. 1145 AISC 76-89. 10.1007/978-3-030-46828-6_8
Pattar, S, Ritika, Vala, D et al. (2020). Device Discovery Techniques for Industrial Internet of Things Through Predictive Analytic Mechanism
. 1145 AISC 76-89. 10.1007/978-3-030-46828-6_8
Maintenance and management of a manufacturing process involve the collection and processing of the machine data. Integral data from a running machine is to be gathered first to accomplish the effective management of the machine in an industry. This collected data provides the current status of the machine and eventually helps in predicting the machine failures beforehand. These sequences of events are called predictive maintenance of a machine. The approach of device discovery helps to predict the machine failures in a better way by transmitting the machine data to edge devices. In the proposed work, machine failures are predicted with the help of aptly designed detection engines. These engines confirm the machine failures by comparing the current status of the machine data with the set of pre-defined rules. Therefore, a machine is serviced right before any unexpected failure and thereby stops the unusual crash-down of a device.
