Titlebook: Condition Monitoring and Control for Intelligent Manufacturing; Lihui Wang (Senior Research Officer),Robert X. Gao Book 2006 Springer-Verl

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Transactions of the Eighth Prague Conferencehining. Unattended (or minimally manned) machining would result in increased capital equipment utilization, thus substantially reducing manufacturing costs. A review of tool monitoring systems and techniques and their components is presented. The proposed algorithm for MPC fuzzy neural networks is a

內(nèi)向者

https://doi.org/10.1007/978-94-010-1257-7 geometrically non-defined cutting edges and plays a prominent role to generate the final surface quality of machined parts. The monitoring systems will be discussed in terms of their ability to measure process quantities during manufacturing, or on the grinding wheel or the workpiece. Monitoring of

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灰心喪氣

Report of the Executive Committee 1973–1975w of current state-of-the-art monitoring approaches for rolling element bearings. Issues related to sensors, signal processing as well as diagnostics and prognostics are discussed. This chapter also presents a brief discussion related to the typical failure modes of bearings. Such failures are more

吞吞吐吐

Inaugural Ceremony 2 August 1988, signal processing algorithms selected for defect feature extraction. This chapter describes a structural dynamics-based sensor placement strategy by investigating the mechanisms of signal propagation from the source of its generation to the sensor location. Numerical simulation of a group of sensor

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https://doi.org/10.1007/978-94-010-2208-8ment of robust state indicators of gearboxes running from a brand new to breakdown state in a natural course, under varying load conditions. Three independent robust state indicators based on state-space representation of a time-varying autoregressive model and noise-adaptive Kalman filtering are pr

邊緣

Reports of Meetings of Commisions,dulation, transient type, and dynamics changing type, and then summarizes signal processing algorithms and their suitability for various types of signatures under four categories, . time domain, frequency domain, time-frequency distribution and model based methods. Additionally, decision-making stra

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https://doi.org/10.1007/978-94-010-3105-9ity and responsiveness are required to maintain high productivity and flexibility. However, there exists a lack of an effective system architecture that integrates remote condition monitoring and control of automated equipment. Addressing this problem, this chapter introduces a web-based and sensor-