Method for Developing Machine Operation Classifier Using Machine Learning

A method for determining a predicted machine operation for a machine using a machine operation classifier, the method including:

• receiving first data values associated with the machine from one or more on-board engineering channels associated with the machine;
• determining one or more first features from the first data values;
• determining a first label for the first data values by using a predictive model, the predictive model being built by:
• feeding one or more training features and one or more training labels associated with the one or more training features to a machine learning algorithm;
• and
• determining the predictive model from the machine learning algorithm.

A system for developing machine operation classifiers for a machine, the system comprising:

• one or more on-board engineering channels for providing training data associated with the machine;
• an input module for receiving the training data from the one or more on-board engineering channels, determining one or more training features based on the training data values, and determining one or more training labels associated with the one or more training features;
• a machine learning module for building a predictive model for determining machine operation classifiers, building the predictive model by the machine learning module includes:
• feeding the one or more training features and the one or more training labels associated with the one or more training features to a machine learning algorithm;
• and
• determining a predictive model from the machine learning algorithm.