Autonomous remaining useful life estimation equipment interacts with the operator through natural speech, voice and sound and provides active failure prevention through automatic and/or continuous remaining useful life estimation of a material under evaluation. The equipment comprises at least one computer and a material features acquisition system operable to detect a plurality of material features. The features are then evaluated according to rules that capture the multidiscipline knowledge of experts and are already inputted into the computer. The computer iterations are processed until an acceptable conclusion is made regarding the condition of the material under evaluation, thus alleviating the need for multidiscipline experts to examine and analyze all the material data manually, a very slow and expensive process. Further, the natural speech and voice interaction preferably allows the operator to operate the equipment while wearing gloves or with dirty hands as he/she will not need to constantly physically manipulate the equipment. The remaining useful life estimation capability may also be retrofitted into conventional inspection systems by extracting pertinent features through spectral frequency analysis and sensor normalization and utilizing those features in the autonomous remaining useful life estimation system.