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An FPGA-Based Parallel DTCWT Hardware Architecture for Bearings Vibration Denoising and Fault Identification
编号：191 访问权限：仅限参会人 更新：2026-10-19 18:11:26 浏览：11次 口头报告

报告开始：暂无开始时间（Asia/Shanghai）

报告时间：暂无持续时间

所在会场：[暂无会议] [暂无会议段]

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摘要
Rolling-bearing vibration monitoring requires a compact processing chain for noise suppression and fault-related spectral analysis. This paper presents a fixed-configuration, three-level parallel dual-tree complex wavelet transform (DTCWT) and inverse DTCWT architecture on FPGA. The implementation combines synchronous real- and imaginary-tree processing, centralized selection of predefined filter coefficients, a parallel FIR multiplier array, pipelined accumulation, and multirate reconstruction. BRAM buffering, FFT analysis, and a predefined threshold-based condition-identification module are integrated around the transform datapath. Results on selected HUST and BUCEA records illustrate denoising and fault-feature enhancement relative to DWT and SWT. The ZYNQ XC7Z020 implementation uses 15,013 LUTs, 11,319 flip-flops, 3 BRAM blocks, and 138 DSP blocks; Vivado 2023.2 reports a power estimate of 0.331 W. This estimate is distinguished from software-monitored CPU/GPU power and is not a board-level power measurement. The contribution is the hardware organization and integration of an established transform for bearing vibration processing. Online parameter adaptation, systematic sensitivity validation, and a reproducible classification-accuracy benchmark are outside the evidence presented here.
关键词
Fault Diagnosis,field programmable gate array,dual tree complex wavelet transform,parallel pipeline
报告人
Zhongheng Liu
PhD student Beijing University of Civil Engineering and Architecture

稿件作者
Zhongheng Liu Beijing University of Civil Engineering and Architecture
Yanxue Wang Beijing University of Civil Engineering and Architecture
Kehui Zhu Beijing University of Civil Engineering and Architecture
Jie Zhang Henan Normal University
Zhang Jinrui Beijing University of Civil Engineering and Architecture
Xinming Li Beijing University of Civil Engineering and Architecture
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重要日期

  • 会议日期

    11月06日

    2026

    至

    11月08日

    2026

  • 10月15日 2026

    初稿截稿日期

主办单位
IEEE Instrumentation and Measurement Society
承办单位
Sichuan University
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