Facilitating Conventional Intelligent Techniques in the Fault Diagnosis of a Modern Financial Terminal Machine

Fault detection and diagnosis is a very important and emerging topic in technological, as well as in medical applications. The request for more precise and fast methods is still emerging. In this paper, after a brief introduction to the concept of fault diagnosis and the basic contributions of artificial intelligence techniques in the field, we present the application of a conventional intelligent diagnostic method in a technological system commonly used in the financial sector, i.e. a financial terminal used for electronic payments. The pilot application was implemented using conventional software development tools, such as a high level expert system development tool available for free for academic and evaluation purposes