Untimely machinery breakdown will incur significant losses, especially to the manufacturing
company as it affects the production rates. During operation, machines generate vibrations …

Rolling element bearings play a crucial role in the functioning of rotating machinery.
Recently, the use of diagnostics and prognostics methodologies assisted by artificial …

A good maintenance strategy is essential to keep complex engineering systems safe.
Historically, maintenance has evolved from post-failure repair to preventive maintenance to …

Health condition monitoring for rotating machinery has been developed for many years due
to its potential to reduce the cost of the maintenance operations and increase availability …

Entropy, as a complexity measure, has been widely applied for time series analysis. One
preeminent example is the design of machine condition monitoring and industrial fault …

Machine failure in modern industry leads to lost production and reduced competitiveness.
Maintenance costs represent between 15% and 60% of the manufacturing cost of the final …

During the past few years, deep learning has been recognized as a useful tool in condition
monitoring and fault detection of rolling element bearings. Although existing deep learning …

Condition monitoring and incipient fault diagnosis of rolling bearing is of great importance to
detect failures and ensure reliable operations in rotating machinery. In this paper, a new …

This paper provides insights into the physical mechanism by which defect-related impulsive
forces, and consequently, vibrations are generated in defective rolling element bearings. A …

Fault feature extractions of the bearings using the vibration signals are an age old method to
anticipate faults in machines. However, the recent research shows that the acoustic sensing …