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Min Zhu

Researcher at Harbin Institute of Technology

Publications -  19
Citations -  50

Min Zhu is an academic researcher from Harbin Institute of Technology. The author has contributed to research in topics: Computer science & Signal. The author has an hindex of 3, co-authored 16 publications receiving 26 citations.

Papers
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Journal ArticleDOI

CFD-Based Investigation on Effects of Orifice Length–Diameter Ratio for the Design of Hydrostatic Thrust Bearings

TL;DR: In this article, the influence of various orifice length-diameter ratio (OLDR) parameters on the performance of the bearing was comprehensively studied using the computational fluid dynamics (CFD) approach.
Proceedings ArticleDOI

Design of dual-phase lock-in amplifier used for weak signal detection

Abstract: In this paper, preamplifier circuit, filter circuit and bias circuit with protection were designed. With the help of DSP and LabVIEW, the algorithm implementation of dual-phase lock-in amplifier, data processing, data display and the serial communication between DSP and LabVIEW were achieved. A complete digital dual-phase lock-in amplifier system based on DSP and LabVIEW was designed. It can extract the weak sinusoidal signals submerged by noise. This design has the advantages of high accuracy, low cost and portability, and its update and transplantation are easy. Experiment results show that when the rate of weak sinusoidal signal's additional noise is 100%, the relative error of amplitude detection is less than 2%, and the absolute error of phase measurement is less than 3°. It fully satisfies the requirements of detecting weak signals submerged by noise in general application. It can also serve as a high cost performance platform in the intensive study of weak signal detection.
Proceedings ArticleDOI

A Z Structure Convolutional Neural Network Implemented by FPGA in Deep Learning

TL;DR: A 3 dimensional Z type convolutional neural network structure is proposed, and the function of hardware circuit is verified by circuit simulation and the structure is easy to implement with FPGA.
Proceedings ArticleDOI

Optimization of convolutional neural network hardware structure based on FPGA

TL;DR: This paper designs a three-dimensional tree-based convolutional operation structure between feature maps for more complicated operation and proposes a FPGA-based tree-shape convolutionAL operation structure to accelerate the convolutiona operation.
Journal ArticleDOI

A Two-Round Optimization Design Method for Aerostatic Spindles Considering the Fluid–Structure Interaction Effect

TL;DR: In this article, a two-round optimization method for aerostatic spindles considering the fluid-structure interaction (FSI) effect is proposed to enhance the overall performance of aerostastic spines.