rotating machinery is the most common machinery in industry. the root of the faults in rotating machinery is often faulty rolling element bearings. this paper presents a technique using optimized artificial neural network by the bees algorithm for automated diagnosis of localized faults in rolling element bearings. the inputs of this technique are a number of features (maximum likelihood estima...

Vibration-based analysis is an important technique in machine fault diagnosis. In complex machines, the vibration generated by a component is easily affected by the vibration of other components or is corrupted by noise from other sources. Hence, the fault-related vibration must be recovered from among those sources for accurate diagnosis. In this paper, a super-exponential algorithm (SEA) base...

This paper presents an approach to the synthesis of compressed vibration test proŽ les representing much longer time histories obtained in road testing of ground vehicles. Vibration test proŽ les are deŽ ned as those related directly to operational testing on speciŽ c road surfaces and which summarize the input to the vehicle in the given conditions. The method extends the classical Fourier tra...

in this paper, front engine accessory drive (fead) system of automotive engine is modeled with adams software. the model is validated using engine test data. it is then used to investigate the effect of design parameters on the system performance such as belt vibration and loads on the idlers. three alternative layouts were developed in order to improve the performance of original eead system. ...

There is a worldwide interest in the proper design of embankment dams to resist earthquake loadings. For the first time in Iran, a complete ambient vibration survey due to low-level loads such as wind, machinery activities, low level tectonic activities, and water exit from bottom outlet was performed on Marun embankment dam. These kinds of ambient vibration tests are suitable for manifesting t...