Dataset for identifying maintenance needs of home appliances using artificial intelligence.

ABSTRACT: The ability to predict the maintenance needs of machines is generating increasing interest in a wide range of industries as it contributes to diminishing machine downtime and costs while increasing efficiency when compared to traditional maintenance approaches. Predictive maintenance (PdM) methods, based on state-of-the-art Internet of Things (IoT) systems and Artificial Intelligence (AI) techniques, are heavily dependent on data to create analytical models capable of identifying certain patterns which can represent a malfunction or deterioration in the monitored machines. Therefore, a realistic and representative dataset is paramount for creating, training, and validating PdM techniques. This paper introduces a new dataset, which integrates real-world data from home appliances, such as re

SUBMITTER: Fonseca T 

PROVIDER: S-EPMC10063395 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature