模式识别技术在桥梁状态评估与安全监测中的应用
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摘要
将模式识别技术应用于桥梁结构状态评估与安全监测中,提出修正的欧氏距离与相似系数两种对响应信号特征向量进行统计分析的量化参数。提取出能较好反映出桥梁结构状态的特征参数,组合成特征向量。选择正常使用状态下多次实测数据特征向量的平均值作为基准状态,分别计算其他各次实测数据的特征向量,得到各次实测情况下特征向量与基准状态下特征向量之间修正的欧氏距离与相似系数。对桥梁正常运营状态进行监测,可得到修正的欧氏距离与相似系数的统计容许范围,作为桥梁结构状态评估的经验数字依据。
Mode recognition technique has been applied in the evaluation of bridge state and safety inspection. Quantizing parameter is presented between the revised Euclid distance and resemble coefficient respond signal feature vector. Characteristic parameter is extracted, which can better reflect bridge structure state, combining it into the feature vector. The average value of the normal state survey data feature vector is selected to be the reference state. Calculating other survey data feature vector separately, then can get the Euclid distance and the resemble coefficient between the normal state survey date feature vector and the reference state. Monitoring the motion of the bridge can get allowable range between the revised Euclid distance and the resemble coefficient which can be the experience digit basis for evaluating the state of bridge structure.
Mode recognition technique has been applied in the evaluation of bridge state and safety inspection. Quantizing parameter is presented between the revised Euclid distance and resemble coefficient respond signal feature vector. Characteristic parameter is extracted, which can better reflect bridge structure state, combining it into the feature vector. The average value of the normal state survey data feature vector is selected to be the reference state. Calculating other survey data feature vector separately, then can get the Euclid distance and the resemble coefficient between the normal state survey date feature vector and the reference state. Monitoring the motion of the bridge can get allowable range between the revised Euclid distance and the resemble coefficient which can be the experience digit basis for evaluating the state of bridge structure.
引文
[1]范立础,王君杰,陈玮.非一致地震激励下大跨度斜拉桥地响应特征[J].计算力学学报,2001,18(3):358—362.
[2]李德葆,陆秋海,秦权.承弯结构的曲率模态分析[J].清华大学学报(自然科学版),2002,42(2):224—227.
[3]郑明刚,刘天雄,朱继梅,等.曲率模态在桥梁状态监测中的应用[J].振动与冲击,2000,19(2):81—82.
[4]王碧泉,陈祖荫.模式识别理论、方法和应用[M].北京:地震出版社,1989.
[5] Cheng Lin Liu, In Jung Kim, Jin H Kim. Model-based Stroke Extraction and Matching for Handwritten Chinese Character Recogni-tion [J]. Pattern Recognition,2001,34:2339—2352.
[6] William Puech, Adrian G Bors, Ioannis Pitas, et al. Projection Distortion Analysis for Flattened Image Mosaicing from Straight Uni-form Generalized Cylinders [J]. Pattern Recognition,2001,34:1657—1670.
[7]朱东来,王仁华.一种有效的实时语音识别确信度判别方法[J].模式识别与人工智能,2002,15(4):403—407.
[8]张道富,周晓军,程耀东.基于隐玛尔柯夫模型(HMM)的无损检测缺陷模式识别[J].模式识别与人工智能,2002,15(4):488—493.
[9]张海燕,刘镇清.人工智能及其在超声无损检测中的应用[J].无损检测,2001,23(8):356—360.
[10] Viikki O, Bye D, Laurila K. A Recursive Feature Vector Normalization Approach for Robust Speech Recognition in Noise[A]. In:Proc of the International Conference on Acoustics, Speech, Siganal Processing, Seattle[C]. USA,1998.733—736.
[2]李德葆,陆秋海,秦权.承弯结构的曲率模态分析[J].清华大学学报(自然科学版),2002,42(2):224—227.
[3]郑明刚,刘天雄,朱继梅,等.曲率模态在桥梁状态监测中的应用[J].振动与冲击,2000,19(2):81—82.
[4]王碧泉,陈祖荫.模式识别理论、方法和应用[M].北京:地震出版社,1989.
[5] Cheng Lin Liu, In Jung Kim, Jin H Kim. Model-based Stroke Extraction and Matching for Handwritten Chinese Character Recogni-tion [J]. Pattern Recognition,2001,34:2339—2352.
[6] William Puech, Adrian G Bors, Ioannis Pitas, et al. Projection Distortion Analysis for Flattened Image Mosaicing from Straight Uni-form Generalized Cylinders [J]. Pattern Recognition,2001,34:1657—1670.
[7]朱东来,王仁华.一种有效的实时语音识别确信度判别方法[J].模式识别与人工智能,2002,15(4):403—407.
[8]张道富,周晓军,程耀东.基于隐玛尔柯夫模型(HMM)的无损检测缺陷模式识别[J].模式识别与人工智能,2002,15(4):488—493.
[9]张海燕,刘镇清.人工智能及其在超声无损检测中的应用[J].无损检测,2001,23(8):356—360.
[10] Viikki O, Bye D, Laurila K. A Recursive Feature Vector Normalization Approach for Robust Speech Recognition in Noise[A]. In:Proc of the International Conference on Acoustics, Speech, Siganal Processing, Seattle[C]. USA,1998.733—736.
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