FUNCTION:
The function of neural networks is to classify self-initiated emails from machines and/or plants from within the company to the maintainer, in order to perform predictive maintenance.
WHAT WAS USED:
The Keras framework was used in Python.
ALGORITHM:
The optimisation algorithm we have used is adamax, a variant of gradient descent which should give better results in the case where features are represented by a sparse matrix, not specifying a Learning Rate but simply using the value that Keras uses by default.
DATASET:
The dataset used to train our network is the IMDB Movie Review Dataset.
NETWORK:
The network was optimised and tested using various open datasets provided by Kaggle.
PURPOSE:
A neural network can be used to refine the results of a linear regression in order to plan predictive machine maintenance. In the case of a printing press, the neural network can be used to plan predictive maintenance of the machine’s axes, motor status, bearing status and print roller unbalance.
