Machine condition monitoring (MCM) aims to evaluate machine health conditions by statistically analysing data. Health indicators (HIs) such as Gini index, negative entropy, spectral kurtosis et al. have been commonly applied in MCM. But these HIs lack a statistical threshold and monotonic degradation tendency. To monitor the of rotating machines, nonparametric nonlinear profile method for MCM i...

Nurses play a vital role in A&E, monitoring patients' physiological responses to stress and disease, and identifying any deterioration in their condition so that appropriate treatment can be instigated. This article describes the monitoring techniques used in A&E to assess critically ill patients.

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A novelty detection approach to condition monitoring of aerospace gas-turbine engines is presented, providing a consistent framework for onand off-line analysis, each with differing typical implementation constraints. On-line techniques are introduced for observing abnormality in engine behaviour during aircraft flights, and are shown to provide early warning of engine events in real-time. Off-...

Resilient plant monitoring systems are sensor networks that degrade gracefully under malicious attacks on their sensors, causing them to project misleading information. This paper develops techniques to ensure resiliency and illustrates their application using a power plant. Specific techniques developed are: active data quality acquisition, process variable and plant condition assessments, sen...

Faults occurring in machine elements are often related to non-linear effects which may lead to non-linearities in the machine vibration signature. This paper concerns the application of signal processing techniques based on Higher Order Spectra (HOS) to the condition monitoring of mechanical systems. These techniques give more information than the power spectra and are particularly useful in si...

Condition monitoring of a gearbox is a crucial activity due to its importance in power transmission for many industrial applications. Thus, there has always been a constant pressure to improve measuring techniques and analytical tools for early detection of faults in gearboxes. This study forces to develop the gearbox monitoring methods using the operating parameters obtained from machine contr...