This paper proposes a state-space model of nonstationary multivariate vibration signals for the on-line estimation of the state of rotating machinery by means of noise-adaptive Kalman filtering algorithm and spectral analysis in the time-frequency domain. Experimental results demonstrate that the proposed model is able to quickly detect the actual state of rotating machinery even under highly n...

Abstract—Condition surveillance of rotating machinery in a plant is very important for guaranteeing production efficiency and plant safety. In a large plant, because there are an enormous number of rotating machines, condition surveillance for all rotating machines is time consuming and labor intensive and the accuracy of condition judgment is not ensured. These difficulties may cause serious m...

Rotating machinery is one of the most typical types of mechanical equipment and plays a significant role in industrial applications. Condition monitoring and fault diagnosis of rotating machinery has gained wide attention for its significance in preventing catastrophic accident and guaranteeing sufficient maintenance. With the development of science and technology, fault diagnosis methods based...