This paper deals with the state-of-the-art strategies and techniques based on vibro-acoustic
signals that can monitor and diagnose malfunctions in Internal Combustion Engines (ICEs) …

The objective of this paper is to provide a review of recent advances in automatic vibration-
and audio-based fault diagnosis in machinery using condition monitoring strategies. It …

Due to a difficulty in dealing with the nonlinear vibration signals collected from varying
speeds by conventional signal process method, it was worse to develop fault diagnosis in …

This article presents a novel multidimensional feature extraction and selection method for
electrocardiogram (ECG) arrhythmias classification. First, a novel multi-interval symmetrized …

The article reviews the issues of complex use of methods of technical diagnostics of
gearboxes for belt conveyors, with the aim of creating an effective system of maintenance …

This paper addresses the use of first-and second-order cyclostationary (CS1 and CS2) tools
to process the vibration signals picked up from internal combustion (IC) engines during cold …

Rotor fault diagnosis has attracted much attention due to its difficulties such as non-
stationarity of fault signals, difficulty in fault feature extraction and low diagnostic accuracy of …

Purpose The main purpose of this paper is to change the structure of the SDP to include
more fault information. Furthermore, improve the diagnostic accuracy and anti-noise …

Various faults inevitably occur in mechanical systems and may result in unexpected failures.
Hence, fault detection is critical to reduce unscheduled downtime and costly breakdowns …

Condition monitoring is used for extracting information from the vibro-acoustic signature of a
machine to detect faults or to define its state of health. A change in the vibration signature …