Machine Fault Diagnosis and Prognosis: The State of The Art

Abstract

Machine fault diagnostic and prognostic techniques have been the considerable subjects of condition-based maintenance system in the recent time due to the potential advantages that could be gained from reducing downtime; decreasing maintenance costs; and increasing machine availability. For the past few years; research on machine fault diagnosis and prognosis has been developing rapidly. These publications covered in the wide range of statistical approaches to model-based approaches. With the aim of synthesizing and providing the information of these researches for researcher’s community; this paper attempts to summarize and classify the recent published techniques in diagnosis and prognosis of rotating machinery. Furthermore; it also discusses the opportunities as well as the challenges for conducting advance research in the field of machine prognosis.