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instrumentation amplifier
bộ/mạch khuếch đại dụng cụ (trong đo lường)
Última atualização: 2015-01-30
Frequência de uso: 2
Qualidade:
instrumentation technician.
kỹ thuật viên thiết bị đo.
Última atualização: 2023-10-26
Frequência de uso: 1
Qualidade:
no, we didn't use any instrumentation.
không, chúng tôi không sử dụng bất kỳ thiết bị đo đạc nào cả.
Última atualização: 2016-10-27
Frequência de uso: 1
Qualidade:
- w-w-what instrumentation did you use?
- anh có dùng công cụ gì không? - chỉ tôi thôi.
Última atualização: 2016-10-27
Frequência de uso: 1
Qualidade:
mechanic just by hearing the noise from a defective vehicle has been attempted with a robust instrumentation technique. in the present experi¬mental work, the prime objective is to establish a process to identify the piston-bore defect by analyzing the engine noise. the aim is to develop a robust filtering algorithm in order to be able to use the tech¬nique in the natural environment of an auto workshop. the algorithm uses engine noise data from healthy and defective vehicles acquired in the natural workshop environment. effectiveness of conven¬tional parameters that are used (six of the most preferred) in statisticallearning systems to tackle similar problems has been assessed. additionally, six more statistical parameters have been derived and pro¬posed to achieve a more effective statistical-learning based decision making system. these additional parameters have been derived from the continuous wavelet transform (cwt) coefficients. the appropri¬ate coefficient level has been decided by using the frequency marginal integration of the cwt coeffi¬cients. a deeper level of cwt scalogram analysis has been carried out to establish the appropriateness of complex morlet wavelet function, for the class of problem under investigation. then the proposed technique uses a third degree polynomial kernel function and sequential optimization based support vec¬tor machine (svm) based on all the twelve parameters in order to identify the piston-bore defect from engine noise signature. it has also been shown that feed-forward back-propagation neural network (fbnn) is equally effective with higher number of training samples.
kỹ thuật
Última atualização: 2014-01-01
Frequência de uso: 1
Qualidade:
Referência: