In order to detect coal gangue interface on fully mechanized mining face, a new method of vibration signal analysis of coal and gangue based on Hilbert-Huang transform is presented in this paper. At first Empirical mode decomposition algorithm was used to decompose the original vibration signal of coal and gangue into intrinsic modes for further extract meaningful information contained in respo...

The goal of Ambient Assisted Living (AAL) research is to improve the quality of life of the elderly and handicapped people and help them maintain an independent lifestyle with the use of sensors, signal processing and telecommunications infrastructure. Unusual human activity detection such as fall detection has important applications. In this paper, a fall detection algorithm for a low cost AAL...

The principle of mathematical morphology and morphological operation filter are briefly introduced.A new signal processing method based on mathematical filter is presented.In order to remove non-linear noise in vibration signal, a kind of filter with structuring element adaptive,morphological opening and closing operators combination is designed.With moving structuring element,the signal can be...

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 signal processing has traditionallybeen accomplishedusing analog and digital signal analysers, or by writing assembler,FortranorC compiled code. The advent of higher level interpretive based signal processing software products like MATLABhas added a new dimension to vibration signal processing. This paper will outline the applicationof MATLABto analysisof the vibrationfrom rotating ma...

Vibration signature-based analysis to detect and diagnose is the commonly used technique in monitoring of rotating machinery. Reliable features will determine efficacy diagnosis prognosis results field machine condition monitoring. This study intends produce a reliable set signal through an alternative statistical characteristic before available relevant prediction methods. Given above advantag...

Tool condition monitoring in machining plays a crucial role in modern manufacturing systems, finding tool wear state in early with the help of monitoring system will reduce downtime and excessive power drawing while machining. It also increases machining quality as well as surface finish of machined components. Vibration analysis of mechanical systems can be used to identify the tool condition ...