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System identification is a method for using measured data to create or improve a mathematical model of the object being tested. From the measured data however, noise is noticed at the beginning of the response. One solution to avoid this noise problem is to skip the noisy data and then use the initial conditions as active parameters, to be found by using the system identification process. This paper describes the development of the equations for setting up the initial conditions as active parameters. The simulated data and response data from actual shear buildings were used to prove the accuracy of both the algorithm and the computer program, which include the initial conditions as active parameters. The numerical and experimental model analysis showed that the value of mass, stiffness and frequency were very reasonable and that the computed acceleration and measured acceleration matched very well. 相似文献
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在生产现场，由于受生产计划的限制，往往要求故障诊断人员能准确、简便和高效地诊断出液压设备的故障。但由于液压设备故障的根源有许多种可能性，这给液压系统的故障诊断带来了一定的困难。针对这种情况，本文提出了液压系统故障诊断的系统分析法和参数测量法，并分析了系统分析法和参数测量法在液压设备故障诊断中的应用。 相似文献
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Since 2005, Outstanding Universal Value (OUV) is the standard by which United Nations Educational Scientific and Cultural Organization (UNESCO) evaluates world cultural heritage site suitability. The sites worthy of UNESCO preservation as well as the parameters used to demonstrate OUV are diverse. Our study focused on the uniquely distinguished rural landscape sites and the OUV parameter of integrity. Integrity however, is an elusive concept for which UNESCO provides no definitional protocol, and for which the scientific community objects to a static or pure historical interpretation. Given this, our work aims to analyse the concept of integrity and how it can be used to preserve the heritage of rural landscapes. After reviewing the UNESCO approach, we focused on the international scientific debate on the meaning and application of integrity. We designed and conducted a comparative study of UNESCO rural landscapes selected from the 2011 World Heritage List. Documents describing the historical, rural, and agro-ecological features of each of the fourteen rural sites were analysed. From this, several historical and ecological parameters were chosen as “values to have” and several socio-economic and management parameters were chosen as “values to maintain” to assess the integrity of each landscape. Our results found integrity to be a value of both cultural and natural landscapes and that it is key to site identity. We demonstrated that UNESCO assigns a high value to the following parameters: historical features, traditional crops and local products, land-use and agricultural practice permanence, and the presence of architecture related to agricultural activity. Finally, we found the relationship between culture and nature to characterize best the integrity of a rural landscape, rather than nature or culture alone. 相似文献
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溯因推理作为发现与解释的最佳方法,被著名哲学家皮尔士纳入与演绎推理、归纳推理并列的推理范畴。皮尔士及其后的科学哲学家较多地讨论溯因在科学发现与解释中的哲学角色问题,忽视了溯因运行的内在逻辑机制问题。近几年随着人工智能与计算机技术的发展,人们对溯因体现出极大兴趣,并将其着力点转向逻辑进路上。溯因有其显著的逻辑特征:非单调性与动态性,以及影响其非单调性与动态性的逻辑参数,根据其逻辑特征与逻辑参数,选择不同的逻辑处理办法,建构不同的逻辑规则、语言以及模型。 相似文献
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Parameters optimization and nonlinearity analysis of grating eddy current displacement sensor using neural network and genetic algorithm 总被引：1，自引：0，他引：1
A grating eddy current displacement sensor （GECDS） can be used in a watertight electronic transducer to realize long range displacement or position measurement with high accuracy in difficult industry conditions. The parameters optimization of the sensor is essential for economic and efficient production. This paper proposes a method to combine an artificial neural network （ANN） and a genetic algorithm （GA） for the sensor parameters optimization. A neural network model is developed to map the complex relationship between design parameters and the nonlinearity error of the GECDS, and then a GA is used in the optimization process to determine the design parameter values, resulting in a desired minimal nonlinearity error of about 0.11%. The calculated nonlinearity error is 0.25%. These results show that the proposed method performs well for the parameters optimization of the GECDS. 相似文献
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考虑到对因受地方口音导致的相近、相似、模糊发音的语音的识别困难,本文以易受四川口音(含有特定的声母zh-z/ch-c/sh-s)孤立词语音为识别语音,对其进行声学建模。通过对初始的49维特征参数分三个步骤进行二次特征提取,得到对特定四川口音敏感的特征参数。最后采用矢量量化技术对初始特征参数和通过二次特征提取得到的特征参数进行对比实验。实验表明,经过二次特征提取得到的特征参数有效地改进了易受四川口音(含有特定的声母zh-z/ch-c/sh-s)影响的语音的识别效果,提高了识别率。 相似文献
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