A method for identifying a fault of at least one mechanical machine, comprising: causing a first plurality of sensors coupled to a corresponding first plurality of mechanical machines to acquire a first plurality of sets of signals emanating from said first plurality of mechanical machines, said first plurality of mechanical machines sharing at least one characteristic; supplying at least said first plurality of sets of signals of said first plurality of mechanical machines to a pre-existing fault classifier comprising a neural network previously trained to automatically identify faults of a second plurality of mechanical machines based on signals emanating therefrom and previously acquired by a second plurality of sensors, said second plurality of sensors being of a different type than said first plurality of sensors, said second plurality of mechanical machines sharing said at least one characteristic; modifying said pre-existing fault classifier by employing transfer learning, based at least on said first plurality of sets of signals of said first plurality of mechanical machines, thereby providing a modified fault classifier, said modifying comprising adding at least one mapping layer to said neural network and retraining the modified fault classifier, including said mapping layer, with said first plurality of sets of signals acquired by said first plurality of sensors; applying said modified fault classifier to at least one additional set of signals acquired by at least one sensor of said first plurality of sensors and emanating from at least one given mechanical machine sharing said at least one characteristic, said modified fault classifier being configured to automatically identify at least one fault of said at least one given mechanical machine based on said at least one additional set of signals; and providing a human sensible output, by an output device, including at least identification of said fault of said at least one given mechanical machine, at least one of a repair or maintenance operation being performed based on said human sensible output. causing a first plurality of sensors coupled to a corresponding first plurality of mechanical machines to acquire a first plurality of sets of signals emanating from said first plurality of mechanical machines, said first plurality of mechanical machines sharing at least one characteristic; supplying at least said first plurality of sets of signals of said first plurality of mechanical machines to a pre-existing fault classifier comprising a neural network previously trained to automatically identify faults of a second plurality of mechanical machines based on signals emanating therefrom and previously acquired by a second plurality of sensors, said second plurality of sensors being of a different type than said first plurality of sensors, said second plurality of mechanical machines sharing said at least one characteristic; modifying said pre-existing fault classifier by employing transfer learning, based at least on said first plurality of sets of signals of said first plurality of mechanical machines, thereby providing a modified fault classifier, said modifying comprising adding at least one mapping layer to said neural network and retraining the modified fault classifier, including said mapping layer, with said first plurality of sets of signals acquired by said first plurality of sensors; applying said modified fault classifier to at least one additional set of signals acquired by at least one sensor of said first plurality of sensors and emanating from at least one given mechanical machine sharing said at least one characteristic, said modified fault classifier being configured to automatically identify at least one fault of said at least one given mechanical machine based on said at least one additional set of signals; and providing a human sensible output, by an output device, including at least identification of said fault of said at least one given mechanical machine, at least one of a repair or maintenance operation being performed based on said human sensible output.