Abstract: A method for detecting gas concentration in a glass bottle with dynamical threshold adjustment is provided includes acquiring second harmonic peaks P0, Pa, PX in the glass bottle, calculating absolute values of the differences between P0 and Pa, as well as between P0 and PX, and performing quality inspection on a glass bottle to be detected. The performing includes collecting the second harmonic peaks for the glass bottle to be detected, calculating a mean PL of elements in the current queue L, updating the second harmonic peak Pa and the second harmonic peak PX, collecting second harmonic peaks for a current glass bottle to be detected, and determining whether the current glass bottle to be detected is an acceptable medicinal bottle based on the updated data and the collected second harmonic peaks.

Abstract: A method for detecting gas concentration in a glass bottle: firstly, second harmonic peaks P0, Pa, PX of the glass bottle are obtained under the same detection environment 0%, an acceptable concentration threshold a % and a reference concentration auxiliary threshold X %; then absolute values of the differences between P0 and Pa, as well as between P0 and PX, so as to obtain Da, Dx, and to write P0 into a queue with a length of M; next, quality inspection is performed on each glass bottle to be detected by: collecting the second harmonic peak PN of the glass bottle and determining if PN?Pa is true; wherein if true, it is determined whether PN?PX is true, and, if true, the second harmonic peak of the medicinal bottle is written into the queue, the queue is averaged to obtain PL, update is performed Pa=PL+Da, PX=PL+DxPa=PL+Da, PX+PL+Da, which is used for the detection of the next medicine bottle after updating.

Abstract: An analog-circuit fault diagnosis method based on continuous wavelet analysis and an ELM network comprises: data acquisition: performing data sampling on output responses of an analog circuit respectively through Multisim simulation to obtain an output response data set; feature extraction: performing continuous wavelet analysis by taking the output response data set of the circuit as training and testing data sets respectively to obtain a wavelet time-frequency coefficient matrix, dividing the coefficient matrix into eight sub-matrixes of the same size, and performing singular value decomposition on the sub-matrixes to calculate a Tsallis entropy for each sub-matrix to form feature vectors of corresponding faults; and fault classification: submitting the feature vector of each sample to the ELM network to implement accurate and quick fault classification.

Abstract: An analog-circuit fault diagnosis method based on continuous wavelet analysis and an ELM network comprises: data acquisition: performing data sampling on output responses of an analog circuit respectively through Multisim simulation to obtain an output response data set; feature extraction: performing continuous wavelet analysis by taking the output response data set of the circuit as training and testing data sets respectively to obtain a wavelet time-frequency coefficient matrix, dividing the coefficient matrix into eight sub-matrixes of the same size, and performing singular value decomposition on the sub-matrixes to calculate a Tsallis entropy for each sub-matrix to form feature vectors of corresponding faults; and fault classification: submitting the feature vector of each sample to the ELM network to implement accurate and quick fault classification.

Abstract: A space vector pulse width modulation (SVPWM) method for suppressing a common-mode voltage of a multiphase motor includes the following steps: (1) dividing all basic vectors of the multiphase motor into q types, and selecting therefrom x types having equal common-mode voltage magnitude of which an absolute value is smallest; (2) for each type in the x types of basic vectors, structuring y classes of auxiliary vectors according to an optimization model; (3) synthesizing reference vectors by virtue of the auxiliary vectors to obtain functioning time of basic vectors functioning in each switching period; and (4) obtaining an optimal functioning sequence of the basic vectors functioning in each switching period with fewest switching operations of a converter as a purpose. The present invention may effectively suppress a magnitude and frequency of the common-mode voltage of the multiphase motor without increasing calculation complexity or reducing other performance indexes.

Abstract: A space vector pulse width modulation (SVPWM) method for suppressing a common-mode voltage of a multiphase motor includes the following steps: (1) dividing all basic vectors of the multiphase motor into q types, and selecting therefrom x types having equal common-mode voltage magnitude of which an absolute value is smallest; (2) for each type in the x types of basic vectors, structuring y classes of auxiliary vectors according to an optimization model; (3) synthesizing reference vectors by virtue of the auxiliary vectors to obtain functioning time of basic vectors functioning in each switching period; and (4) obtaining an optimal functioning sequence of the basic vectors functioning in each switching period with fewest switching operations of a converter as a purpose.