Monitoring the vibration behaviour of large rotating machinery is an effective way to reduce production losses and enhance safety, efficiency, reliability, availability and longevity in manufacturing processes. As large rotating machinery is increasingly employed in continuous operations at high speeds and with heavy loads, the vibration behaviour of the rotor systems is more and more complex. ...

Diagnostics and prognostics in rotating machinery is a subject of much on-going research. There are three approaches to diagnostics and prognostics. These include experience-based approaches, data-driven techniques and model-based techniques. Bayesian data-driven techniques are gaining widespread application in diagnostics and prognostics of mechanical and allied systems including slow rotating...

Maintenance and design engineers have great concern for the functioning of rotating machineries due to the vibration phenomenon. Improper functioning in rotating machinery originates from the damage to rolling element bearings. The status of rolling element bearings require advanced technologies to monitor their health status efficiently and effectively. Avoiding vibration during machine runnin...

An investigation is carried out on the systematic analysis of the dynamic behavior of the hybrid squeeze-film damper HSFD mounted a rotor-bearing system with strongly nonlinear oil-film force and nonlinear rub-impact force in the present study. The dynamic orbits of the system are observed using bifurcation diagrams plotted using the dimensionless rotating speed ratio as control parameters. The...

This paper presents a methodology for threedimensional numerical simulations of supercooled water droplet trajectories through aeroengine rotating machinery. Both flow and droplets’ governing equations are formulated and solved in the reference frame of rotating blades. A Eulerian-Lagrangian approach is used for the continuous and discrete phases with one-way interaction model to simulate the a...

Autoencoders have been used widely for diagnosing devices, example, faults in rotating machinery. However, autoencoder-based approaches lack explainability their results and can be hard to tune. In this article, we propose an explainable method applying autoencoders diagnosis, where use a metric that maximizes the diagnostics accuracy. Since autoencoder projects input into reduced subspace (the...