Mechanical engineering The use of Self-Organizing Maps for diagnosing faults in motor bearings

These methods can be broadly classified into supervised and unsupervised learning methods. The supervised learning methods learn the relationship between the input values and the desired target values, i.e. labels, by feeding the method with a set of inputs and the desired target outputs, whereas the unsupervised learning methods learn a hidden relationship in the input values without the target outputs (Baraldi et al. 2013, Tamilselvan et al. 2013a).