Application of genetic algorithm to multilateration measurement of the volumetric error in machine tools

Wang, Haitong; Cai, Yonglin; Li, Tiemin; Wang, Liping; Li, Fengchun

doi:10.1177/1687814016666450

Cited by 4 publications

(2 citation statements)

References 17 publications

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“…Genetic algorithm, which embodies the competition mechanism of ''survival of the fittest,'' is an optimal search method based on natural selection and genetics. [43][44][45] Genetic algorithm with back propagation neural network (GA-BP) is composed of structure determination of BP neural network, genetic algorithm optimization, and BP neural network prediction. The flow chart of GA-BP is depicted in Figure 4.…”

Section: Wavelet Packet Analysis and Energy Feature Extractionmentioning

confidence: 99%

Research on fault diagnosis of mud pump fluid end based on acoustic emission

Deng

Pei

Wang

et al. 2017

Advances in Mechanical Engineering

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A mud pump is one of the three key components of a drilling site, and its lifetime and reliability are related to safety and cost. The fluid end is the most easily damaged part of the mud pump. To ensure normal operation, the fault modes of the fluid end need to be effectively identified. This study proposes to employ acoustic emission technique to identify the fault modes of mud pump fluid end, including valve disk leakage, spring break, and piston wear. The analysis method of parameters and waveforms of the acoustic emission signals are both used in this article. The characteristic parameters of the acoustic emission signals are combined with grey relational analysis to identify the fault modes with small samples; wavelet packet signal processing technique is applied to decompose and reconstruct the obtained acoustic emission signal waveforms and extract the energy of each frequency range to construct the eigenvectors which are input into the genetic algorithm with back propagation neural network for fault diagnosis. The results show that the fault modes under small samples can be effectively identified by combining the characteristic parameters and the grey relational analysis; the frequency range energy eigenvalue can be extracted using the method of wavelet packet signal processing, and the genetic algorithm with back propagation neural network is of better convergence than that of the back propagation neural network.

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Section: Wavelet Packet Analysis and Energy Feature Extractionmentioning

confidence: 99%

Research on fault diagnosis of mud pump fluid end based on acoustic emission

Deng

Pei

Wang

et al. 2017

Advances in Mechanical Engineering

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“…In the same way, a new procedure to calibrate an articulated arm coordinate measuring was presented in that paper. Wang et al [13] used a genetic algorithm to optimize the laser tracker positions of multilateration measurements. Santolaria et al [14] proposed a self-calibration algorithm of four laser trackers.…”

Section: Introductionmentioning

confidence: 99%

Effects of number of digits in large-scale multilateration

Linares

Arroyave-Tobón

Pires³

et al. 2020

Precision Engineering

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Since many years ago, multilateration has been used in precision engineering notably in machine tool and coordinate measuring machine calibration. This technique needs, first, the use of laser trackers or tracking interferometers, and second, the use of nonlinear optimization algorithms to determine point coordinates. Research works have shown the influence of the experimental configuration on measure precision in multilateration. However, the impact of floating-point precision in computations on largescale multilateration precision has not been addressed. In this work, the effects of numerical errors (rounding and cancellation effects) due to floating-point precision (number of digits) were studied. In order to evaluate these effects in large-scale multilateration, a multilateration measurement system was simulated. This protocol is illustrated with a case study where large distances (≤20 m) between pairs of target points were simulated. The results show that the use of multi-precision libraries is recommended to control the propagation of uncertainties during the multilateration computation.

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An Electromagnetic Fiber Acoustic Transducer with Dual Modes of Loudspeaker and Microphone

Zou

Ling

Shi

et al. 2021

Small

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A flexible fiber acoustic transducer is created by designing a parallel configuration of a Rubidium iron boron (NdFeB) magnet fiber and an aluminum fiber. The former provides a stable magnet field, while the latter vibrates to phonate upon applying alternating current or generates alternating voltage in the sound field. This single device exhibits dual functions as a loudspeaker or a microphone. As a fiber loudspeaker, it can generate 40–60 dB of audible (20 Hz−20 kHz) and directional sounds which can be used for blind navigation and controllable sound field distribution. The fiber acoustic transducer functions as a microphone when external sound waves force the aluminum fiber to vibrate. After the fiber microphones are woven into several different positions of a piece of clothing, the sound source can be accurately located based on the time differences reaching different microphones. This wearable fiber acoustic transducer is promising to be used to quickly search people in trouble during emergency rescue activities such as earthquakes or fires.

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Application of genetic algorithm to multilateration measurement of the volumetric error in machine tools

Cited by 4 publications

References 17 publications

Research on fault diagnosis of mud pump fluid end based on acoustic emission

Research on fault diagnosis of mud pump fluid end based on acoustic emission

Effects of number of digits in large-scale multilateration

An Electromagnetic Fiber Acoustic Transducer with Dual Modes of Loudspeaker and Microphone

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