s: This paper proposes a failure diagnosis method for machinery in unsteady operating condition using instantaneous power spectrum (IPS) and Genetic Programming (GP). The IPS is used to extract feature frequency of ea...
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This paper proposes a failure diagnosis method for plant machinery in unsteady operating condition using instantaneous power spectrum (IPS) and Genetic Programming (GP). The IPS is used to extract feature spectra of e...
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Because tools in real world operate the object in order to attain a specific purpose, it is possible to forecast the movement to some extent. So action of hands to operate the tool to attain a purpose is measured befo...
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The paper proposes a failure diagnosis method for machinery in unsteady operating condition using instantaneous power spectrum (IPS) and genetic programming (GP). The IPS is used to extract feature frequency of each m...
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The paper proposes a failure diagnosis method for machinery in unsteady operating condition using instantaneous power spectrum (IPS) and genetic programming (GP). The IPS is used to extract feature frequency of each machine state from measured vibration signal for distinguishing failures by the Relative Crossing Information (RCI). Excellent symptom parameters for detecting failures are automatically generated by GP. The method proposed in the paper is verified by applying it to the failure diagnosis of rolling bearing.
The Cellular Neural Network (CNN) has been widely used for associative memory, but has a problem called indeterminate cell. In this paper, we have proposed a CNN considering hysteresis characteristic as one of the met...
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ISBN:
(纸本)0780362535
The Cellular Neural Network (CNN) has been widely used for associative memory, but has a problem called indeterminate cell. In this paper, we have proposed a CNN considering hysteresis characteristic as one of the methods to avoid the indeterminate cell problem, and confirmed its effectiveness in simulations.
The concept of a speech driven embodied interaction robots system is introduced for supporting human interaction by generating the expressive actions or motions of robots coherently related to speech input. Then, the ...
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The concept of a speech driven embodied interaction robots system is introduced for supporting human interaction by generating the expressive actions or motions of robots coherently related to speech input. Then, the prototype of the system which consists of 2 interaction robots called InterRobots with both functions of speaker and listener is developed in which two models are incorporated: one is a listener's action model in which nodding, blinking and the motions of head, arms and body are estimated by the hierarchical moving average (MA) model of the burst-pause (ON-OFF) of speech to the nodding; the other is a speaker's action model in which the motions of head, arms and body are estimated by its own MA model of the ON-OFF of speech to the head motion. By the sensory evaluation and behavioral analysis in human-robot interaction, the effectiveness of InterRobot's interaction is demonstrated. The effectiveness of the embodied interaction robots system is also confirmed in remote communication.
The concept of a speech driven embodied interaction robots system is introduced for supporting human interaction by generating the expressive actions or motions of robots coherently related to speech input. The protot...
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The concept of a speech driven embodied interaction robots system is introduced for supporting human interaction by generating the expressive actions or motions of robots coherently related to speech input. The prototype of the system which consists of 2 interaction robots called InterRobots with both functions of speaker and listener is developed in which two models are incorporated: one is a listener's action model where nodding, blinking and the motions of head, arms and body are estimated by the hierarchical MA (moving-average) model of the burst-pause (ON-OFF) of speech to the nodding; the other is a speaker's action model in which the motions of head, arms and body are estimated by its own MA model of the ON-OFF of speech to the head motion. By sensory evaluation and behavioral analysis in human-robot interaction, the effectiveness of InterRobot's interaction is demonstrated. The effectiveness of the embodied interaction robot system is also confirmed in remote communication.
An embodied virtual face-to-face communication system with two types of avatars for human interaction analysis by synthesis is developed: one is a VirtualActor (VA) as a human avatar which represents interactive behav...
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An embodied virtual face-to-face communication system with two types of avatars for human interaction analysis by synthesis is developed: one is a VirtualActor (VA) as a human avatar which represents interactive behavior such as the motions of head, arms and body, the other is a VirtualWave (VW) as an abstract avatar in which human behavior is simplified as the motion of wave to clarify an essential role of interaction. The system provides networked virtual communication environment in which two remote talkers can share embodied interaction through their VA or VW including themselves in the same virtual space. The effectiveness of the system is demonstrated by the sensory evaluation and behavioral analysis of the communication experiment in 13 pairs of 26 talkers under various conditions such as the time lag of motion and voice. The importance of mutual embodied sharing in communication is also clarified The system would be expected to form the foundation of information media and communication technologies as well as the methodology for the analysis and understanding of various human interactions.
We study multicast traffic performance in single-hop optical networks based on broadcast and select system that employ a receiver collision avoidance protocol (RCA) as a multicasting protocol. We use an approximate an...
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We study multicast traffic performance in single-hop optical networks based on broadcast and select system that employ a receiver collision avoidance protocol (RCA) as a multicasting protocol. We use an approximate analytical solution and Markov model to analyse the system. We consider fixed and uniform distribution of the destination set size to show the relationship between the receiver throughput and system throughput against the multicast size of the destination. We also show the trade-off between the offered load and channel probability. Then we evaluate the system as a relationship between blocking probability and offered load.
This paper considers the problem of impulse response identification for a linear sampled-data system where the input signal is held constantly within a multiple of the sampling period of the output signal. To improve ...
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This paper considers the problem of impulse response identification for a linear sampled-data system where the input signal is held constantly within a multiple of the sampling period of the output signal. To improve identification accuracy, this paper proposes a new identification approach by employing the Haar scaling and wavelet functions. At first, we point out that the discrete-time impulse response of a linear system with zero-order hold (ZOH) input is actually the piecewise-constant approximation of the continuous-time impulse response. Based on the close relation between piecewise-constant approximation with Haar scaling and wavelet functions, a hierarchical identification procedure is proposed which identifies the system impulse response from a coarse resolution level to a fine resolution level successively. At each resolution level, the BIC is utilized to determine the length of the decomposed impulse response in the corresponding subspace, so that some redundant parameters in the high frequency-domain which are sensitive to the noise effects are discarded. Since the identified impulse response model is not smooth when it is represented by some Haar scaling functions of different widths, we can replace each Haar scaling function in the preidentified impulse response model by a Gaussian basis function with corresponding position and width. Then an improved identification method is also proposed to achieve smooth continuous-time impulse response model from sampled data. It is shown through simulation study that the proposed methods yield accurate estimate of the impulse response even in the ill-conditioned cases.
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