https://research.birmingham.ac.uk/portal/files/53643809/APEN2017.pdf

Performance-based health monitoring, diagnostics and prognostics for condition-based maintenance of gas turbines: A review

An improved EEMD with multiwavelet packet for rotating machinery multi-fault diagnosis

Rotor fault condition monitoring techniques for squirrel-cage induction machine—A review

The relationship between kurtosis- and envelope-based indexes for the diagnostic of rolling element bearings

Cracks in shafts have long been identified as factors limiting the safe and reliable operation of turbomachines. They can sometimes result in catastrophic failure of equipment (rotor bursts) and, more often, in costly process upsets, repairs and premature scrapping and replacement of equipment. Cracked shafts still pose a significant and real threat to equipment in spite of the great advances made in the areas of metallurgy, manufacturing and design. In the past two decades, much research and many resources have gone into developing various on-line and off-line diagnostic techniques to effectively detect cracks before they cause serious damage. Because of the enormous amount of ongoing research in this area (more than 500 technical papers have been published in English alone in the past 30 years), there is a real need to periodically condense and summarize the information. This paper reviews literature on cracked shaft detection and diagnostics published after 1990.

Cracked shaft detection and diagnostics: A literature review

Identification of multiple faults in rotor systems

A model based identification method of transverse cracks in rotating shafts suitable for industrial machines

This paper introduces a method for the identification of the position and the depth of a transverse crack in a rotor system, by using vibration measurements As it is reported in literature and from field experience, a transverse crack modifies the dynamic behaviour of the rotor, generating in a horizontal axis shaft periodical vibrations with 1x, 2x and 3x rev components A model-based diagnostic approach and a least-squares identification method in the frequency domain are used for the crack localisation along the rotor The crack depth is calculated by comparing the static bending moment, due to the rotor weight and to the bearing alignment conditions, to the identified 'equivalent' periodical bending moment, which simulates the crack Finally, the validation of the proposed method is carried out statically and dynamically by means of experimental results obtained on a test-rig

Andrea Vania

Papers

Identification of multiple faults in rotor systems

A model based identification method of transverse cracks in rotating shafts suitable for industrial machines

Identification of Transverse Crack Position and Depth in Rotor Systems

Nonlinear effects caused by coupling misalignment in rotors equipped with journal bearings

Thermally induced vibrations due to rub in real rotors