Abstract: An exemplary mobile apparatus for assessing an operating condition of an asset. The mobile device includes at least one sensor device for acquiring data related to one or more operational or environmental characteristics of an asset during operation. The mobile device further includes a processing device encoded with a neural network architecture having one or more models trained to identify one or more operating conditions of one or more assets according to asset type. The processing device can determine an operating condition of the asset by extracting features from the acquired data and comparing attributes of the extracted features to attributes of at least one known operating condition determined through training of the models. The mobile device can also include an output interface to output a result of the determination performed by the processing device, which can include communicating the result to a remote device.