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With the development of the condition-based maintenance techniques and the consequent requirement for good machine learning methods, new challenges arise in unsupervised learning. In the real-world situations, due to the relevant features that could exhibit the real machine condition are often unknown as priori, condition monitoring systems based on(More)
Electrostatic micro-electro-mechanical system (MEMS) is a special branch with a wide range of applications in sensing and actuating devices in MEMS. This paper provides a survey and analysis of the electrostatic force of importance in MEMS, its physical model, scaling effect, stability, nonlinearity and reliability in detail. It is necessary to understand(More)
This paper proposes a dynamical model and governing equations of the motion of the micro-cantilever beam with piezoelectric actuator (PZT). The Rayleigh-Ritz method is used to reduce the order of the system and the state equations is presented in modal space. The lirst ten mode frequencies and mode shapes of the micro-cantilever beam with and without PZT(More)
In Atomic force microscope (AFM) examination of a vibrating microcantilever, the nonlinear tip-sample interaction would greatly influence the dynamics of the cantilever. In this paper, the nonlinear dynamics and chaos of a tip-sample dynamic system being run in the tapping mode (TM) were investigated by considering the effects of hydrodynamic loading and(More)
The viral lytic gene BZLF1 triggers replication of the Epstein–Barr virus (EBV), which is commonly found in nasopharyngeal carcinoma (NPC). Here, RT-PCR revealed five new BZLF1 variants in 8 of 12 NPC and 4 of 12 non-NPC nasopharyngeal biopsies from an NPC-endemic area in southern China. The deduced peptide sequence of the dominant BZLF1 variant differed by(More)
The importance of maintenance optimization has been recognized over the past decades and is highly emphasized by today's competitive economy. In this paper, an updated sequential predictive maintenance (USPM) policy is proposed to decide a real-time preventive maintenance (PM) schedule for a continuously monitored degrading system that will minimize(More)
This paper develops two component-level control-limit preventive maintenance (PM) policies for systems subject to the joint effect of partial recovery PM acts (imperfect PM acts) and variable operational conditions, and investigates the properties of the proposed policies. The extended proportional hazards model (EPHM) is used to model the system failure(More)
Blind identification is a crucial subtask in signal processing problems such as blind signal separation (BSS) and direction-of-arrival (DOA) estimation. This paper presents a procedure for multiple-input multiple-output instantaneous blind identification based on second-order temporal properties of the signals, such as coloredness and nonstationarity. The(More)