TWI465707B - Measurement system for diagnosing ball screw preload loss by vibration signal and voiceprint signal - Google Patents

Measurement system for diagnosing ball screw preload loss by vibration signal and voiceprint signal Download PDF

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TWI465707B
TWI465707B TW100140621A TW100140621A TWI465707B TW I465707 B TWI465707 B TW I465707B TW 100140621 A TW100140621 A TW 100140621A TW 100140621 A TW100140621 A TW 100140621A TW I465707 B TWI465707 B TW I465707B
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signal
lead screw
mode function
ball lead
ball
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TW201319539A (en
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Yi Cheng Huang
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Univ Nat Changhua Education
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利用振動訊號、聲紋訊號診斷滾珠導螺桿預壓力失調之量測系統及其方法 Measuring system and method for diagnosing ball lead screw pre-pressure imbalance using vibration signal and voiceprint signal

本發明是有關於一種滾珠導螺桿預壓力失效之量測系統,特別是有關於一種利用希爾伯特黃轉換法(Hilbert-Huang Transform,HHT)分析滾珠導螺桿裝置之聲紋訊號及振動訊號,以診斷滾珠導螺桿預壓力失調之量測系統及其方法。 The invention relates to a measuring system for pre-pressure failure of a ball lead screw, in particular to a method for analyzing a voice signal and a vibration signal of a ball lead screw device by Hilbert-Huang Transform (HHT). , a measuring system for diagnosing a ball lead screw pre-pressure imbalance and a method thereof.

目前,滾珠導螺桿為精密線性傳動與定位系統之重要元件,其功能為利用導螺桿將旋轉運動轉換為直線運動,以達成線性傳輸功能。由於滾珠導螺桿以滾珠作為螺桿與螺帽之間的動力傳送媒介,並以鋼珠滾動代替傳統螺桿的滑動方式,因此能夠大幅提昇進給傳動時的機械效率與高進給速度,為精密定位及高進給系統的關鍵性機械零組件。也因為如此,滾珠導螺桿常被廣泛應用於精密加工機與半導體製造設備上。為了因應高精度切削的高精度加工路線,往往會將滾珠導螺的轉速及剛性不斷的提升,導致滾珠導螺桿因高轉速及重預壓下產生高摩擦扭力,而經過長時間的往復進給下,造成內部滾珠摩耗的程度瞬間增加,進而產生熱溫升及熱變位,使之造成螺帽預壓失效影像加工定位精度。因此,如 何診斷滾珠導螺桿的預壓力失效,一直是相當重要的議題。 At present, the ball lead screw is an important component of the precision linear drive and positioning system. Its function is to use the lead screw to convert the rotary motion into linear motion to achieve linear transmission. Since the ball lead screw uses the ball as the power transmission medium between the screw and the nut, and the steel ball rolls instead of the conventional screw sliding mode, the mechanical efficiency and the high feed speed during the feed transmission can be greatly improved, and the precision positioning and Key mechanical components for high feed systems. Because of this, ball lead screws are often used in precision processing machines and semiconductor manufacturing equipment. In order to meet the high-precision machining route of high-precision cutting, the rotation speed and rigidity of the ball guide screw are constantly increased, resulting in high-friction torque of the ball lead screw due to high rotation speed and heavy pre-compression, and long-time reciprocating feed. Under the circumstance, the degree of internal ball wear is increased instantaneously, and then the thermal temperature rise and the thermal displacement are generated, so that the screw preloading failure image processing positioning accuracy is caused. Therefore, such as How to diagnose the pre-pressure failure of the ball lead screw has been a very important issue.

由於滾珠導螺桿的預壓力影響定位精度甚鉅,且滾珠導螺桿運動中是無法直接量測其機械尺寸,因此如何早期診斷滾珠導螺桿的預壓力失效,一直是相當重要的問題。然而,滾珠導螺桿運動所產生的訊號為非穩態訊號,習知技術之量測裝置使用傅立葉轉換(Fourier transform)濾波,濾波後的結果仍無法據以分析。 Since the pre-pressure of the ball lead screw affects the positioning accuracy, and the mechanical size of the ball lead screw cannot be directly measured, how to diagnose the pre-pressure failure of the ball lead screw early is a very important problem. However, the signal generated by the movement of the ball lead screw is an unsteady signal, and the measurement device of the prior art uses Fourier transform filtering, and the filtered result cannot be analyzed.

而黃愕博士在1998年提出The Empirical Mode Decomposition and The Hilbert Spectrum for Nonlinear and Nonstationary Time Series Analysis,Proceedings of Royal Society of London Series A,Vol 454,pp.903-9951998.其中提到的希伯爾特轉換法(Hilbert-Huang Transform,HHT)可有效分析旋轉機械故障振動之非線性及非穩態訊號。因此,如何提出一種滾珠導螺桿預壓力失效之量測系統,能夠整合希爾伯特黃轉換法來更有效地檢測滾珠導螺桿的預壓力失效,即為本發明所欲解決之問題。 In 1998, Dr. Huang Wei proposed The Empirical Mode Decomposition and The Hilbert Spectrum for Nonlinear and Nonstationary Time Series Analysis, Proceedings of Royal Society of London Series A, Vol 454, pp. 903-9951998. The conversion method (Hilbert-Huang Transform, HHT) can effectively analyze the nonlinear and non-steady-state signals of rotating machinery fault vibration. Therefore, how to propose a measuring system for the pre-pressure failure of the ball lead screw can integrate the Hilbert yellow conversion method to more effectively detect the pre-pressure failure of the ball lead screw, which is the problem to be solved by the present invention.

有鑑於上述習知技藝之問題,本發明之主要目的之一就是在提供一種利用振動訊號、聲紋訊號診斷滾珠導螺桿預壓力失調之量測系統及其方法,以解決習知技藝之量測系統無法準確分析滾珠導螺桿的預壓力失效的問題。 In view of the above-mentioned problems of the prior art, one of the main purposes of the present invention is to provide a measurement system and method for diagnosing a pre-pressure imbalance of a ball lead screw using a vibration signal and a voiceprint signal to solve the measurement of the prior art. The system cannot accurately analyze the problem of pre-pressure failure of the ball lead screw.

根據本發明之目的,提出一種利用振動訊號診斷滾珠導螺桿預壓力失調之量測系統,係包含:訊號擷取模組,係擷取滾珠導螺桿裝置運轉時之振動訊號;訊號前處理模組,係利用經驗模式分解 法(Empirical Mode Decomposition Method,EMD)將振動訊號轉換為可表示在不同振動頻率之下,滾珠導螺桿預壓力特徵訊號之內稟模式函數圖;訊號分析模組,係分析內稟模式函數圖,並從中提取在預設振動頻率下,出現滾珠導螺桿預壓力特徵訊號之內稟模式函數(Intrinsic Mode Function,INF);以及訊號後處理模組,係以多尺度熵分析法(Multiscale Entropy,MSE)將內稟模式函數轉換為多尺度熵分析圖,多尺度熵分析圖表示在不同的尺度之下,內稟模式函數之熵值變化,以量測滾珠導螺桿預壓力變化。其中,訊號前處理模組係將在不同時間點所擷取之該振動訊號轉換為複數個內稟模式函數圖,並由訊號分析模組由複數個內稟模式函數圖中提取在預設振動頻率下,出現滾珠導螺桿預壓力特徵訊號之各個內稟模式函數,再由訊號後處理模組將各個內稟模式函數轉換為多尺度熵分析圖,以量測滾珠導螺桿預壓力變化。 According to the object of the present invention, a measuring system for diagnosing a pre-pressure imbalance of a ball lead screw by using a vibration signal is provided, which comprises: a signal capturing module, which is a vibration signal when the ball guiding screw device is operated; a signal pre-processing module Decomposition using empirical mode The (Empirical Mode Decomposition Method, EMD) converts the vibration signal into an intrinsic mode function diagram that can represent the pre-pressure characteristic signal of the ball lead screw under different vibration frequencies; the signal analysis module analyzes the intrinsic mode function diagram. And extracting the Intrinsic Mode Function (INF) of the ball lead screw pre-pressure characteristic signal at the preset vibration frequency; and the signal post-processing module by Multiscale Entropy (MSE) The intrinsic mode function is converted into a multi-scale entropy analysis graph, and the multi-scale entropy analysis graph represents the entropy change of the intrinsic mode function under different scales to measure the pre-pressure change of the ball lead screw. The signal pre-processing module converts the vibration signal captured at different time points into a plurality of intrinsic mode function diagrams, and the signal analysis module extracts the preset vibration from a plurality of intrinsic mode function maps. At the frequency, each intrinsic mode function of the ball lead screw pre-pressure characteristic signal appears, and then the signal post-processing module converts each intrinsic mode function into a multi-scale entropy analysis chart to measure the ball lead screw pre-pressure change.

根據本發明之目的,再提出一種利用振動訊號診斷滾珠導螺桿預壓力失調之量測方法,係包含下列步驟:經由訊號擷取模組擷取在不同時間點之滾珠導螺桿裝置運轉之振動訊號;利用訊號前處理模組將在不同時間點所擷取之振動訊號轉換為複數個內稟模式函數圖;由訊號分析模組由複數個內稟模式函數圖中提取在預設振動頻率下,出現滾珠導螺桿預壓力特徵訊號之各個內稟模式函數;以及透過訊號後處理模組將各個內稟模式函數轉換為多尺度熵分析圖,以量測滾珠導螺桿預壓力變化。 According to the object of the present invention, a method for measuring the pre-pressure imbalance of the ball lead screw by using the vibration signal is further provided, which comprises the steps of: taking the vibration signal of the ball lead screw device running at different time points through the signal capturing module. The signal pre-processing module converts the vibration signals captured at different time points into a plurality of intrinsic mode function diagrams; the signal analysis module is extracted from the plurality of intrinsic mode function maps at a preset vibration frequency, Each intrinsic mode function of the ball lead screw pre-pressure characteristic signal appears; and each intrinsic mode function is converted into a multi-scale entropy analysis chart by the signal post-processing module to measure the ball lead screw pre-pressure change.

其中,內稟模式函數係表示振動訊號之瞬時振幅及瞬時頻率。 The intrinsic mode function represents the instantaneous amplitude and instantaneous frequency of the vibration signal.

其中,訊號分析模組係將內稟模式函數圖轉換為邊際圖譜( Marginal Spectrum),邊際圖譜能表示滾珠導螺桿預壓力特徵訊號出現的頻率位置,以找出在預設振動頻率下,出現滾珠導螺桿預壓力特徵訊號之內稟模式函數。 Among them, the signal analysis module converts the intrinsic mode function map into a marginal map ( Marginal Spectrum), the marginal map can indicate the frequency position of the ball lead screw pre-pressure characteristic signal to find the internal 禀 mode function of the ball lead screw pre-pressure characteristic signal at the preset vibration frequency.

其中,訊號擷取模組為加速規。 Among them, the signal acquisition module is an acceleration gauge.

根據本發明之目的,又提出一種利用聲紋訊號診斷滾珠導螺桿預壓力失調之量測系統,係包含:訊號擷取模組,係擷取滾珠導螺桿裝置運轉時產生之聲紋訊號;儲存模組,係儲存在不同預壓力條件之下,滾珠導螺桿裝置運轉時產生之聲紋訊號之聲紋數據;訊號處理模組,係利用經驗模式分解法將聲紋訊號轉換為可表示在不同聲紋頻率之下,滾珠導螺桿預壓力特徵訊號之內稟模式函數圖,並從中提取在預設聲紋頻率下,出現滾珠導螺桿預壓力特徵訊號之內稟模式函數;以及訊號分析模組,係利用短時距傅立葉轉換(Short-Time Fourier Transform,STFT)將內稟模式函數轉換為時頻圖,並分析時頻圖以產生邊際時域圖(Marginal Time)及邊際頻域圖(Marginal Frequency),並與該聲紋數據比對,以量測滾珠導螺桿預壓力變化。 According to the object of the present invention, a measuring system for diagnosing a pre-pressure imbalance of a ball lead screw by using a voiceprint signal is provided, which comprises: a signal capturing module, which is a voice signal generated when the ball guiding screw device is operated; The module is stored under different pre-stress conditions, and the voiceprint data of the voiceprint signal generated when the ball screw device is operated; the signal processing module converts the voiceprint signal into different representations by using the empirical mode decomposition method. Under the voiceprint frequency, the internal curve mode function diagram of the ball lead screw pre-pressure characteristic signal, and extracting the internal 禀 mode function of the ball lead screw pre-pressure characteristic signal at the preset voiceprint frequency; and the signal analysis module The short-time Fourier Transform (STFT) is used to convert the intrinsic mode function into a time-frequency diagram, and the time-frequency diagram is analyzed to generate a Marginal Time and a Marginal Frequency Domain (Marginal). Frequency), and compared with the voiceprint data, to measure the pre-pressure change of the ball lead screw.

根據本發明之目的,更提出一種利用聲紋訊號診斷滾珠導螺桿預壓力失調之量測方法,係包含下列步驟:利用訊號擷取模組擷取滾珠導螺桿裝置運轉時產生之聲紋訊號;藉由儲存模組儲存在不同預壓力條件之下,滾珠導螺桿裝置運轉時產生之聲紋訊號之聲紋數據;由訊號處理模組利用經驗模式分解法將聲紋訊號轉換為內稟模式函數圖,並從中提取在預設聲紋頻率下,出現滾珠導螺桿預壓力特徵訊號之內稟模式函數;透過訊號分析模組將內稟模式函數轉換為時頻圖、邊際時域圖及邊際頻域圖,並與聲紋數據 比對,以量測滾珠導螺桿預壓力變化。 According to the purpose of the present invention, a method for measuring the pre-pressure imbalance of the ball lead screw by using the voiceprint signal is further provided, which comprises the following steps: using the signal capture module to capture the voiceprint signal generated when the ball lead screw device is operated; The voiceprint data generated by the ball guide screw device is stored under different pre-stress conditions by the storage module; the signal processing module uses the empirical mode decomposition method to convert the voiceprint signal into the intrinsic mode function. And extracting the internal 禀 mode function of the ball lead screw pre-pressure characteristic signal at the preset voiceprint frequency; converting the 禀 mode function into the time-frequency diagram, the marginal time-domain diagram and the marginal frequency through the signal analysis module Domain map and voiceprint data Alignment to measure the pre-pressure change of the ball lead screw.

其中,內稟模式函數係表示聲紋訊號之瞬時振幅及瞬時頻率。 The intrinsic mode function represents the instantaneous amplitude and instantaneous frequency of the voiceprint signal.

其中,訊號擷取模組為一麥克風。 The signal acquisition module is a microphone.

承上所述,依本發明之利用希爾伯特黃轉換法診斷滾珠導螺桿預壓力失調之量測系統及其方法,其可具有一或多個下述優點: In accordance with the present invention, a measurement system and method for diagnosing a ball lead screw pre-pressure imbalance using a Hilbert yellow conversion method according to the present invention may have one or more of the following advantages:

(1)本發明的所提出的方法可有效分析旋轉機械故障振動之非線性及非穩態訊號,因此可以準確量測滾珠導螺桿預壓力是否失效。 (1) The proposed method of the present invention can effectively analyze the nonlinear and non-steady-state signals of the rotating mechanical fault vibration, and thus can accurately measure whether the ball lead screw pre-pressure is invalid.

(2)本發明可藉由希伯爾特黃轉換法與多尺度熵分析法有效的判斷滾珠導螺桿預壓力是否失效,此方法不必停機檢查,即可有效檢測出滾珠導螺桿預壓力是否失效,以增進滾珠導螺桿的壽命。 (2) The invention can effectively judge whether the ball lead screw pre-pressure is invalid by the Hibbert yellow conversion method and the multi-scale entropy analysis method, and the method can effectively detect whether the ball lead screw pre-pressure is invalid without stopping the inspection. To improve the life of the ball lead screw.

1、6‧‧‧滾珠導螺桿預壓力量測系統 1, 6‧‧‧ Ball lead screw pre-pressure measuring system

11、61‧‧‧訊號擷取模組 11, 61‧‧‧ Signal capture module

111‧‧‧振動訊號 111‧‧‧Vibration signal

12、62‧‧‧訊號前處理模組 12, 62‧‧‧ signal pre-processing module

121、621‧‧‧經驗模式分解法 121, 621‧‧‧Experience mode decomposition

122、622‧‧‧內稟模式函數圖 122, 622‧‧‧Intrinsic mode function diagram

13、63‧‧‧訊號分析模組 13, 63‧‧‧ Signal Analysis Module

131、623‧‧‧內稟模式函數 131, 623‧‧‧Intrinsic mode function

14‧‧‧訊號後處理模組 14‧‧‧ Signal Post Processing Module

141‧‧‧多尺度熵分析法 141‧‧‧Multi-scale entropy analysis

142‧‧‧多尺度熵分析圖 142‧‧‧Multi-scale entropy analysis

611‧‧‧聲紋訊號 611‧‧‧ voiceprint signal

64‧‧‧儲存模組 64‧‧‧Storage module

641‧‧‧聲紋數據 641‧‧‧ voiceprint data

631‧‧‧短時距傅立葉轉換 631‧‧‧Short-term Fourier transform

632‧‧‧時頻圖 632‧‧‧Time-frequency diagram

633‧‧‧邊際時域圖 633‧‧‧Marginal time domain map

634‧‧‧邊際頻域圖 634‧‧‧Marginal frequency domain map

S51~S54、S81~S84‧‧‧步驟流程 S51~S54, S81~S84‧‧‧ Step procedure

第1圖係為本發明之利用振動訊號診斷滾珠導螺桿預壓力失調之量測系統之方塊圖。 Figure 1 is a block diagram of the measurement system for diagnosing the pre-pressure imbalance of the ball lead screw using the vibration signal of the present invention.

第2A及2B圖係為本發明之利用振動訊號診斷滾珠導螺桿預壓力失調之量測系統之第一實施例之內稟函數圖。 2A and 2B are diagrams showing the internal enthalpy function of the first embodiment of the measurement system for diagnosing the pre-pressure imbalance of the ball guide screw using the vibration signal.

第3圖係為本發明之利用振動訊號診斷滾珠導螺桿預壓力失調之量測系統之第一實施例之邊際圖譜。 Fig. 3 is a marginal view of the first embodiment of the measuring system for diagnosing the pre-pressure imbalance of the ball lead screw using the vibration signal of the present invention.

第4圖係為本發明之利用振動訊號診斷滾珠導螺桿預壓力失調之量測系統之第一實施例之多尺度熵分析圖。 Figure 4 is a multi-scale entropy analysis diagram of the first embodiment of the measurement system for diagnosing the pre-pressure imbalance of the ball guide screw using the vibration signal.

第5圖係為本發明之利用振動訊號診斷滾珠導螺桿預壓力失調之量測方法之流程圖。 Fig. 5 is a flow chart showing the method for measuring the pre-pressure imbalance of the ball lead screw using the vibration signal of the present invention.

第6圖係為本發明之利用聲紋訊號診斷滾珠導螺桿預壓力失調之 量測系統之方塊圖。 Figure 6 is a diagram of the use of the voiceprint signal to diagnose the pre-pressure imbalance of the ball lead screw of the present invention. A block diagram of the measurement system.

第7A、7B、7C圖係為本發明之利用聲紋訊號診斷滾珠導螺桿預壓力失調之量測系統之第一實施例之時頻圖、邊際時域圖及邊際頻域圖。 7A, 7B, and 7C are time-frequency diagrams, marginal time-domain diagrams, and marginal frequency-domain diagrams of the first embodiment of the measurement system for vibrating the ball lead screw pre-pressure imbalance using the voiceprint signal.

第8圖係為本發明之本發明之利用聲紋訊號診斷滾珠導螺桿預壓力失調之量測系統之流程圖。 Figure 8 is a flow chart of the measurement system for diagnosing the pre-pressure imbalance of the ball guide screw using the voiceprint signal of the present invention.

本發明採用1998年美國太空總署(National Aeronautics and Space Administration,NASA)的黃鍔博士發表的經驗模態分解法(Empirical Mode Decomposition,EMD),利用資料本身時間尺度作為能量,將原來訊號分解為從高頻至低頻的多個內稟模態函數(Intrinsic Mode Function,IMF),再把內稟模態函數當作展開的基底,利用這些基底就可以完全表示原來訊號的物理特性,也就保證了分解之完整性,避免失真的高正交性,並使訊號表現瞬間變化的局部性,且能在非線性訊號分析的適應性,再利用希伯特轉換出內稟模態函數的瞬間振幅與頻率,使訊號能表現瞬間變化的訊息與特性,稱為希伯特黃轉換(Hilbert Huang Transform,HHT)。 The invention adopts the Empirical Mode Decomposition (EMD) published by Dr. Huang Wei of the National Aeronautics and Space Administration (NASA) in 1998, and uses the time scale of the data itself as energy to decompose the original signal into From the high frequency to the low frequency, the Intrinsic Mode Function (IMF), and the intrinsic mode function as the base of the expansion, the physical characteristics of the original signal can be fully represented by using these substrates. The integrity of the decomposition, avoiding the high orthogonality of the distortion, and the locality of the signal that changes instantaneously, and the adaptability of the nonlinear signal analysis, and then the instantaneous amplitude of the intrinsic mode function is converted by Hibbert. With the frequency, the signal and characteristics that enable the signal to change instantaneously are called Hilbert Huang Transform (HHT).

另外,本發明更採用了多尺度熵分析法(Multiscale Entropy,MSE)。由於一個系統的熵和複雜度隱含著整個系統運動規律性,熵與複雜度的物理意義直接和系統單一變數的性質相聯繫。在計算熵和複雜度時,一般同近年來由符號動力學理論發展出來的符號時間序列分析方法相聯繫。符號時間序列分析實質是結合混沌時間序列分析和資訊理論的一種分析方法,其實質是先對序列值 的符號化,符號化後編碼,編碼後計算熵或複雜度等特徵。 In addition, the present invention further employs Multiscale Entropy (MSE). Since the entropy and complexity of a system imply the motion regularity of the whole system, the physical meaning of entropy and complexity is directly related to the nature of the system's single variable. When calculating entropy and complexity, it is generally associated with the symbol time series analysis method developed by symbol dynamics theory in recent years. Symbolic time series analysis is essentially an analysis method combining chaotic time series analysis and information theory. Its essence is the sequence value first. Symbolization, post-symbol coding, encoding to calculate entropy or complexity and other characteristics.

以下將參照相關圖式,說明依本發明之利用振動訊號、聲紋訊號診斷滾珠導螺桿預壓力失調之量測系統及其方法之實施例,為使便於理解,下列所述實施例中之相同元件係以相同之符號標示來說明。 Hereinafter, an embodiment of a measurement system and a method for diagnosing a ball lead screw pre-pressure imbalance using a vibration signal and a voiceprint signal according to the present invention will be described with reference to the related drawings. For ease of understanding, the same is true in the following embodiments. Components are denoted by the same reference numerals.

請參閱第1圖,係為本發明之利用振動訊號診斷滾珠導螺桿預壓力失調之量測系統之方塊圖。如圖所示,滾珠導螺桿預壓力量測系統1包含訊號擷取模組11、訊號前處理模組12、訊號分析模組13及訊號後處理模組14。 Please refer to FIG. 1 , which is a block diagram of the measurement system for diagnosing the pre-pressure imbalance of the ball lead screw by using the vibration signal. As shown in the figure, the ball lead screw pre-pressure measuring system 1 includes a signal capturing module 11, a signal pre-processing module 12, a signal analysis module 13, and a signal post-processing module 14.

訊號擷取模組11可擷取滾珠導螺桿裝置運轉時所產生之振動訊號,此訊號擷取模組11可為一加速規。訊號前處理模組12可利用希爾伯特轉換法中之經驗模式分解法121將振動訊號111轉換為一可表示在不同振動頻率之下,滾珠導螺桿預壓力特徵訊號之一內稟模式函數圖122,內稟模式函數可表示振動訊號111之瞬時振幅及瞬時頻率。而訊號分析模組13可分析內稟模式函數圖122,並將其轉換為邊際圖譜(Marginal Spectrum),邊際圖譜能表示滾珠導螺桿預壓力特徵訊號出現的頻率位置,以找出在預設振動頻率下,出現滾珠導螺桿預壓力特徵訊號之內稟模式函數131。 The signal capture module 11 can capture the vibration signal generated when the ball guide screw device is in operation. The signal capture module 11 can be an acceleration gauge. The signal pre-processing module 12 can convert the vibration signal 111 into an intrinsic mode function which can represent one of the ball pilot screw pre-pressure characteristic signals under different vibration frequencies by using the empirical mode decomposition method 121 in the Hilbert transform method. In FIG. 122, the intrinsic mode function can represent the instantaneous amplitude and instantaneous frequency of the vibration signal 111. The signal analysis module 13 can analyze the intrinsic mode function map 122 and convert it into a marginal spectrum (Marginal Spectrum), and the margin map can indicate the frequency position of the ball lead screw pre-stress characteristic signal to find the preset vibration. At the frequency, the intrinsic mode function 131 of the ball lead screw pre-pressure characteristic signal appears.

值得一提的是,由於內稟模式函數圖122包含多個內稟模式函數131,各個內稟模式函數131顯示之特徵訊號具有不同的意義。因此,只有在特定頻率下出現的特徵訊號才是與滾珠導螺桿有關的訊號。因此,訊號分析模組13需要由內稟模式函數圖122中提取在預設振動頻率下,出現滾珠導螺桿預壓力特徵訊號之內稟模式 函數131,以做為後續分析的依據。 It is worth mentioning that since the intrinsic mode function diagram 122 includes a plurality of intrinsic mode functions 131, the characteristic signals displayed by the respective intrinsic mode functions 131 have different meanings. Therefore, only the characteristic signal appearing at a specific frequency is the signal related to the ball lead screw. Therefore, the signal analysis module 13 needs to extract the internal 禀 mode of the ball lead screw pre-pressure characteristic signal at the preset vibration frequency from the intrinsic mode function diagram 122. Function 131 is used as the basis for subsequent analysis.

訊號後處理模組14係以多尺度熵分析法141(Multiscale Entropy,MSE)將該內稟模式函數131轉換為多尺度熵分析圖142,多尺度熵分析圖142表示在不同的尺度之下,內稟模式函數131之熵值變化,以量測滾珠導螺桿預壓力變化。 The signal post-processing module 14 converts the intrinsic mode function 131 into a multi-scale entropy analysis graph 142 by multi-scale entropy 141 (MSE), and the multi-scale entropy analysis graph 142 represents under different scales. The entropy value of the intrinsic mode function 131 is varied to measure the pre-pressure change of the ball lead screw.

因此,利用訊號前處理模組12將在不同時間點所擷取之振動訊號111轉換為多個內稟模式函數圖122,並從提取在預設振動頻率下,出現滾珠導螺桿預壓力特徵訊號之各個該內稟模式函數131。訊號後處理模組14則將各個內稟模式函數131轉換為多尺度熵分析圖142。由於當滾珠導螺桿之預壓力變化,會在多尺度熵分析圖142產生熵值的變化。因此,藉由分析多尺度熵分析圖142中各曲線熵值的變化,即可量測滾珠導螺桿之預壓力的變化情況。 Therefore, the signal pre-processing module 12 is used to convert the vibration signal 111 captured at different time points into a plurality of intrinsic mode function maps 122, and the ball lead screw pre-pressure characteristic signal appears from the preset vibration frequency. Each of the intrinsic mode functions 131. The signal post-processing module 14 then converts each of the intrinsic mode functions 131 into a multi-scale entropy analysis map 142. As the pre-pressure of the ball lead screw changes, a change in the entropy value is produced in the multi-scale entropy analysis map 142. Therefore, by analyzing the change of the entropy value of each curve in the multi-scale entropy analysis graph 142, the change of the pre-pressure of the ball lead screw can be measured.

另外,利用本發明之方法,即使在滾珠導螺桿裝置運轉時,也能夠測定其預壓力是否失效,因此不必停機檢查,在實際應用時更加的方便。 Further, with the method of the present invention, even when the ball lead screw device is operated, it is possible to determine whether or not the pre-pressure is invalid, so that it is not necessary to stop the inspection, which is more convenient in practical use.

請參閱第2A及2B圖,係為本發明之利用振動訊號診斷滾珠導螺桿預壓力失調之量測系統之第一實施例之內稟函數圖。訊號前處理模組可利用希爾伯特轉換法中之經驗模式分解法將在不同的時間點下所擷取之振動訊號轉換為內稟模式函數圖,內稟模式函數圖顯示之特徵訊號具有不同的意義。例如,經由事前訓練得知,與滾珠導螺桿預壓力有關之特徵訊號會落在頻率320Hz附近。訊號前處理模組將內稟模式函數圖轉換為邊際圖譜(Marginal Frequency),如第3圖所示。由第3圖可以很明顯的看出,第3組 內稟模式函數(IMF3)之邊際圖譜之特徵訊號出現在在頻率320Hz附近。因此可以斷定第3組內稟模式函數與滾珠導螺桿預壓力有關。 Please refer to FIGS. 2A and 2B, which are diagrams showing the internal enthalpy function of the first embodiment of the measuring system for diagnosing the pre-pressure imbalance of the ball lead screw using the vibration signal. The signal pre-processing module can convert the vibration signal captured at different time points into an intrinsic mode function graph by using the empirical mode decomposition method in the Hilbert transform method, and the characteristic signal of the intrinsic mode function graph display has Different meanings. For example, it is known through prior training that the characteristic signal associated with the ball lead screw pre-pressure will fall near the frequency of 320 Hz. The signal pre-processing module converts the intrinsic mode function map into a Marginal Frequency, as shown in Figure 3. It can be clearly seen from Figure 3 that Group 3 The characteristic signal of the marginal map of the intrinsic mode function (IMF3) appears near the frequency of 320 Hz. Therefore, it can be concluded that the third group internal helium mode function is related to the ball lead screw pre-pressure.

請參閱第4圖,係為本發明之利用振動訊號診斷滾珠導螺桿預壓力失調之量測系統之第一實施例之多尺度熵分析圖。訊號後處理模組係以多尺度熵分析法將在各個不同的時間點下,與滾珠導螺桿預壓力有關之內稟模式函數轉換為多尺度熵分析圖。由第4圖可以很明顯的看出,滾珠導螺桿預壓力變動時,其熵值相對提高(Entropy 0~1.2)。而在35分鐘後因溫升平衡,其整個複雜度在高尺度下相對趨於穩定。 Please refer to FIG. 4, which is a multi-scale entropy analysis diagram of a first embodiment of a measurement system for diagnosing a ball screw lead pre-pressure imbalance using a vibration signal. The signal post-processing module converts the intrinsic mode function related to the ball lead screw pre-pressure into a multi-scale entropy analysis graph at various time points by multi-scale entropy analysis. It can be clearly seen from Fig. 4 that the entropy value of the ball lead screw is relatively increased (Entropy 0~1.2). After 35 minutes, due to the temperature rise balance, the overall complexity is relatively stable at high scale.

請參閱第5圖,係為本發明之利用振動訊號診斷滾珠導螺桿預壓力失調之量測方法之流程圖。 Please refer to FIG. 5, which is a flow chart of a method for measuring the pre-pressure imbalance of the ball lead screw using the vibration signal according to the present invention.

在步驟S51中,經由訊號擷取模組擷取在不同時間點之滾珠導螺桿裝置運轉之振動訊號。 In step S51, the vibration signal of the ball lead screw device operation at different time points is captured by the signal acquisition module.

在步驟S52中,利用訊號前處理模組將在不同時間點所擷取之振動訊號轉換為複數個內稟模式函數圖。 In step S52, the signal pre-processing module is used to convert the vibration signals captured at different time points into a plurality of intrinsic mode function maps.

在步驟S53中,由訊號分析模組由複數個內稟模式函數圖中提取在預設振動頻率下,出現滾珠導螺桿預壓力特徵訊號之各個內稟模式函數。 In step S53, the signal analysis module extracts, from the plurality of intrinsic mode function maps, the respective intrinsic mode functions of the ball lead screw pre-pressure characteristic signal at the preset vibration frequency.

在步驟S54中,透過訊號後處理模組將各個內稟模式函數轉換為多尺度熵分析圖,以量測滾珠導螺桿預壓力變化。 In step S54, the signal processing module converts each intrinsic mode function into a multi-scale entropy analysis map to measure the ball lead screw pre-pressure change.

請參閱第6圖,係為本發明之利用聲紋訊號診斷滾珠導螺桿預壓 力失調之量測系統之方塊圖。如圖所示,滾珠導螺桿預壓力量測系統6包含訊號擷取模組61、儲存模組64、訊號分析模組63及訊號處理模組62。 Please refer to FIG. 6 for the use of the voiceprint signal to diagnose the ball lead screw preloading of the present invention. A block diagram of the measurement system for force imbalance. As shown, the ball lead screw pre-pressure measuring system 6 includes a signal capturing module 61, a storage module 64, a signal analysis module 63, and a signal processing module 62.

訊號擷取模組61可擷取滾珠導螺桿裝置運轉時產生之聲紋訊號611,此訊號擷取模組61可為一麥克風。儲存模組64可儲存在不同預壓力條件之下,滾珠導螺桿裝置運轉時產生之聲紋訊號之聲紋數據641。因此,可經由事前訓練,將在不同預壓力條件(如輕預壓2%、中預壓4%、重預壓6%)下之聲紋數據儲存於儲存模組64中,以便進行比對測量。 The signal capture module 61 can capture the voiceprint signal 611 generated when the ball guide screw device is in operation. The signal capture module 61 can be a microphone. The storage module 64 can store the voiceprint data 641 of the voiceprint signal generated when the ball lead screw device operates under different pre-stress conditions. Therefore, the voiceprint data under different pre-stress conditions (such as 2% in light pre-pressing, 4% in pre-pressing, and 6% in pre-loading) can be stored in the storage module 64 for comparison by prior training. measuring.

訊號處理模組可利用希爾伯特轉換法中之經驗模式分解法621將聲紋訊號611轉換為一可表示在不同聲紋頻率之下,滾珠導螺桿預壓力特徵訊號之內稟模式函數圖622,並選取在預設聲紋頻率下,出現滾珠導螺桿預壓力特徵訊號之內稟模式函數623。 The signal processing module can use the empirical mode decomposition method 621 in the Hilbert transform method to convert the voiceprint signal 611 into an internal 禀 mode function diagram that can represent the pre-pressure characteristic signal of the ball lead screw under different voiceprint frequencies. 622, and select the intrinsic mode function 623 of the ball lead screw pre-pressure characteristic signal at the preset voiceprint frequency.

訊號分析模組63則利用短時距傅立葉轉換631(Short-Time Fourier Transform,STFT)將該內稟模式函數623轉換為時頻圖632,並根據該時域圖632產生邊際時域圖633(Marginal Time)及一邊際頻域圖634(Marginal Frequency),並與該聲紋數據641比對。利用上述的方法即可以有效量測滾珠導螺桿預壓力變化。 The signal analysis module 63 converts the intrinsic mode function 623 into a time-frequency map 632 by using a Short-Time Fourier Transform (STFT), and generates a marginal time domain map 633 according to the time domain map 632 ( Marginal Time and Marginal Frequency 634 are compared with the voiceprint data 641. The above-mentioned method can effectively measure the pre-pressure change of the ball lead screw.

請參閱第7A、7B及7C圖,係為本發明之利用聲紋訊號診斷滾珠導螺桿預壓力失調之量測系統之第一實施例之時頻圖、邊際時域圖及邊際頻域圖。本發明利用希爾伯特轉換法中之經驗模式分解法將含有螺桿特徵訊號之內稟模式函數利用短時距傅立葉轉換將其 轉換為時頻圖,而於時頻圖中有一個紅色十字指標可將訊號分解成邊際時域圖(Marginal Time)及邊際頻域圖(Marginal Frequency)。 Please refer to FIGS. 7A, 7B and 7C for the time-frequency diagram, the marginal time domain diagram and the marginal frequency domain diagram of the first embodiment of the measurement system for diagnosing the ball screw lead pre-pressure imbalance using the voiceprint signal. The present invention utilizes the empirical mode decomposition method in the Hilbert transform method to convert the intrinsic mode function containing the screw characteristic signal by short-time Fourier transform Converted to a time-frequency diagram, and a red cross indicator in the time-frequency diagram decomposes the signal into a Marginal Time and a Marginal Frequency.

如圖所示,在不同預壓力(輕預壓2%、中預壓4%、重預壓6%)之下,整體聲壓趨勢呈現滾珠導螺桿於啟動及停止時所激發出的聲壓較大。而滾珠導螺桿於行程的往返點附近也有聲壓的出現,但能量與啟動及停止時所激發出的聲壓小很多,這是由於滾珠導螺桿於啟動及停止時需克服摩擦力。而滾珠導螺桿於行程的往返點時,滾珠從順時鐘轉向逆時鐘,需要克服反轉時的摩擦力。然而,對聲壓的比對而言,應屬滾珠導螺桿於啟動及停止時所造成的聲壓較為劇烈。 As shown in the figure, under different pre-pressures (light preload 2%, medium preload 4%, heavy preload 6%), the overall sound pressure trend shows the sound pressure excited by the ball lead screw at start and stop. Larger. The ball lead screw also has sound pressure near the round trip point of the stroke, but the sound pressure generated by the energy and the start and stop is much smaller, because the ball lead screw needs to overcome the friction when starting and stopping. When the ball lead screw is at the round-trip point of the stroke, the ball turns from the clockwise to the counterclock, and it is necessary to overcome the frictional force during the reverse rotation. However, for the comparison of sound pressure, the sound pressure caused by the ball lead screw at the start and stop is more severe.

由第7A圖可以很明顯的看出,2%預壓力的滾珠導螺桿因背隙較大,摩擦力所展現的訊號特徵時間較長且疏散。反之,第7B及7C圖中之4%及6%預壓力螺桿摩擦力展現的訊號特徵較短且緊密。在第7C圖中,由過預壓6%之滾珠導螺桿內部滾珠較其他螺桿緊密,可發現預壓6%之滾珠導螺桿於啟動及停止時的摩擦力都無像其他螺桿有能量的上升,而是一開始就呈現最大值,直到克服摩擦力後能量才開始上降。如圖中所示,紅色虛線箭頭為啟動及停止之摩擦訊號,紅色圈圈虛線為滾珠反轉時的摩擦力。因此,本發明可藉由不同馬達轉速及不同預壓力之滾珠導螺桿的聲壓數據,來判斷不同預壓力的螺桿。 It can be clearly seen from Fig. 7A that the ball lead screw of 2% pre-pressure has a large backlash, and the signal characteristic exhibited by the friction is long and evacuated. Conversely, the 4% and 6% pre-pressure screw friction in Figures 7B and 7C exhibits shorter and tighter signal characteristics. In Figure 7C, the internal ball of the ball screw with over 6% preloading is tighter than the other screws. It can be found that the friction of the ball screw with 6% preloading at start and stop is not as high as that of other screws. Instead, the maximum value is presented from the beginning until the energy begins to rise and fall after overcoming the friction. As shown in the figure, the red dotted arrow is the friction signal for starting and stopping, and the red circle dotted line is the friction force when the ball is reversed. Therefore, the present invention can determine the screw of different pre-pressure by the sound pressure data of the ball lead screw of different motor speeds and different pre-pressures.

請參閱第8圖,係為本發明之利用聲紋訊號診斷滾珠導螺桿預壓力失調之量測系統之流程圖。 Please refer to FIG. 8 , which is a flow chart of the measuring system for diagnosing the pre-pressure imbalance of the ball lead screw by using the voiceprint signal.

在步驟81中,利用訊號擷取模組擷取滾珠導螺桿裝置運轉時產生之聲紋訊號。 In step 81, the signal capture module is used to capture the voiceprint signal generated when the ball lead screw device is in operation.

在步驟82中,藉由儲存模組儲存在不同預壓力條件之下,滾珠導螺桿裝置運轉時產生之聲紋訊號之聲紋數據。 In step 82, the voiceprint data of the voiceprint signal generated when the ball lead screw device is operated is stored by the storage module under different pre-stress conditions.

在步驟83中,由訊號處理模組利用經驗模式分解法將聲紋訊號轉換為內稟模式函數圖,並從中提取在預設聲紋頻率下,出現滾珠導螺桿預壓力特徵訊號之內稟模式函數。 In step 83, the signal processing module converts the voiceprint signal into the intrinsic mode function map by using the empirical mode decomposition method, and extracts the internal mode of the ball lead screw pre-stress characteristic signal at the preset voiceprint frequency. function.

在步驟84中,透過訊號分析模組將內稟模式函數轉換為時頻圖、邊際時域圖及邊際頻域圖,並與聲紋數據比對,以量測滾珠導螺桿預壓力變化。 In step 84, the signal analysis module converts the intrinsic mode function into a time-frequency map, a marginal time domain map, and a marginal frequency domain map, and compares with the voiceprint data to measure the ball lead screw pre-pressure change.

綜上所述,本發明之利用振動訊號、聲紋訊號診斷滾珠導螺桿預壓力失調之量測系統及其方法可有效分析旋轉機械故障振動之非線性及非穩態訊號,因此可以準確量測滾珠導螺桿預壓力是否失效。本發明不必停機檢查,即可有效檢測出滾珠導螺桿預壓力是否失效,以增進滾珠導螺桿的壽命。可見本發明在突破先前之技術下,確實已達到所欲增進之功效,且也非熟悉該項技藝者所易於思及,實已符合專利之申請要件。 In summary, the measurement system and method for diagnosing the pre-pressure imbalance of the ball lead screw by using the vibration signal and the voiceprint signal can effectively analyze the nonlinear and non-steady-state signals of the vibration vibration of the rotating machine, so that the measurement can be accurately measured. Whether the ball lead screw pre-pressure is invalid. The invention can effectively detect whether the ball lead screw pre-pressure is invalid without stopping the inspection, so as to improve the life of the ball lead screw. It can be seen that the present invention has achieved the desired effect under the prior art, and is not familiar with the skill of the artist, and has been in compliance with the patent application requirements.

以上所述僅為舉例性,而非為限制性者。任何未脫離本發明之精神與範疇,而對其進行之等效修改或變更,均應包含於後附之申請專利範圍中。 The above is intended to be illustrative only and not limiting. Any equivalent modifications or alterations to the spirit and scope of the invention are intended to be included in the scope of the appended claims.

1‧‧‧滾珠導螺桿預壓力量測系統 1‧‧‧Bead lead screw pre-pressure measuring system

11‧‧‧訊號擷取模組 11‧‧‧Signal capture module

111‧‧‧振動訊號 111‧‧‧Vibration signal

12‧‧‧訊號前處理模組 12‧‧‧ Signal Pre-Processing Module

121‧‧‧經驗模式分解法 121‧‧‧Experience mode decomposition

122‧‧‧內稟模式函數圖 122‧‧‧Intrinsic mode function diagram

13‧‧‧訊號分析模組 13‧‧‧Signal Analysis Module

131‧‧‧內稟模式函數 131‧‧‧Intrinsic mode function

14‧‧‧訊號後處理模組 14‧‧‧ Signal Post Processing Module

141‧‧‧多尺度熵分析法 141‧‧‧Multi-scale entropy analysis

142‧‧‧多尺度熵分析圖 142‧‧‧Multi-scale entropy analysis

Claims (14)

一種利用振動訊號診斷滾珠導螺桿預壓力失調之量測系統,係包含:一訊號擷取模組,係擷取滾珠導螺桿裝置運轉時之一振動訊號;一訊號前處理模組,係利用經驗模式分解法(Empirical Mode Decomposition Method,EMD)將該振動訊號轉換為一可表示在不同振動頻率之下,滾珠導螺桿預壓力特徵訊號之一內稟模式函數圖;一訊號分析模組,係分析該內稟模式函數圖,並從中提取在一預設振動頻率下,出現滾珠導螺桿預壓力特徵訊號之一內稟模式函數(Intrinsic Mode Function,INF);以及一訊號後處理模組,係以多尺度熵分析法(Multiscale Entropy,MSE)將該內稟模式函數轉換為一多尺度熵分析圖,該多尺度熵分析圖表示在不同的尺度之下,該內稟模式函數之熵值變化,以量測滾珠導螺桿預壓力變化;其中,該訊號前處理模組係將在不同時間點所擷取之該振動訊號轉換為該複數個內稟模式函數圖,並由該訊號分析模組由該複數個內稟模式函數圖中提取在一預設振動頻率下,出現滾珠導螺桿預壓力特徵訊號之各個該內稟模式函數,再由該訊號後處理模組將各個該內稟模式函數轉換為該多尺度熵分析圖,以量測滾珠導螺桿預壓力變化。 The utility model relates to a measuring system for diagnosing a pre-pressure imbalance of a ball lead screw by using a vibration signal, comprising: a signal capturing module, which is a vibration signal when the ball guiding screw device is operated; a pre-processing module of the signal is used for experience. The Modem Decomposition Method (EMD) converts the vibration signal into a 禀 mode function diagram which can represent one of the ball pilot screw pre-pressure characteristic signals under different vibration frequencies; a signal analysis module is an analysis The intrinsic mode function diagram, and extracting from a preset vibration frequency, an intrinsic mode function (INF) of one of the ball lead screw pre-pressure characteristic signals; and a signal post-processing module, Multiscale Entropy (MSE) converts the intrinsic mode function into a multi-scale entropy analysis graph, which represents the entropy change of the intrinsic mode function under different scales. Measuring the pre-pressure change of the ball lead screw; wherein the signal pre-processing module converts the vibration signal captured at different time points into the complex number a mode function diagram of the inner 禀 mode, and the signal analysis module extracts the internal 禀 mode function of the ball lead screw pre-pressure characteristic signal from a plurality of 禀 mode function diagrams at a preset vibration frequency, and then The signal processing module converts each of the intrinsic mode functions into the multi-scale entropy analysis map to measure the ball lead screw pre-pressure change. 如申請專利範圍第1項所述之利用振動訊號診斷滾珠導螺桿預壓 力失調之量測系統,其中該內稟模式函數係表示該振動訊號之瞬時振幅及瞬時頻率。 Use the vibration signal to diagnose the ball lead screw preload according to the scope of claim 1 A force imbalance measurement system, wherein the intrinsic mode function represents an instantaneous amplitude and an instantaneous frequency of the vibration signal. 如申請專利範圍第2項所述之利用振動訊號診斷滾珠導螺桿預壓力失調之量測系統,其中該訊號分析模組係將該內稟模式函數圖轉換為一邊際圖譜(Marginal Spectrum),該邊際圖譜能表示滾珠導螺桿預壓力特徵訊號出現的頻率位置,以找出在該預設振動頻率下,出現滾珠導螺桿預壓力特徵訊號之該內稟模式函數。 The measuring system for diagnosing the ball screw pre-pressure imbalance using the vibration signal according to the second aspect of the patent application, wherein the signal analysis module converts the intrinsic mode function map into a Marginal Spectrum, The marginal map can indicate the frequency position at which the ball lead screw pre-pressure characteristic signal appears to find the intrinsic mode function at which the ball lead screw pre-pressure characteristic signal appears at the preset vibration frequency. 如申請專利範圍第1項所述之利用振動訊號診斷滾珠導螺桿預壓力失調之量測系統,其中該訊號擷取模組為一加速規。 The measuring system for diagnosing the ball screw pre-pressure imbalance using the vibration signal according to the first aspect of the patent application, wherein the signal capturing module is an acceleration gauge. 一種利用振動訊號診斷滾珠導螺桿預壓力失調之量測方法,係包含下列步驟:經由一訊號擷取模組擷取在不同時間點之滾珠導螺桿裝置運轉之一振動訊號;利用一訊號前處理模組將在不同時間點所擷取之振動訊號轉換為複數個內稟模式函數圖;由一訊號分析模組由該複數個內稟模式函數圖中提取在一預設振動頻率下,出現滾珠導螺桿預壓力特徵訊號之各個內稟模式函數;以及透過一訊號後處理模組將各個該內稟模式函數轉換為一多尺度熵分析圖,以量測滾珠導螺桿預壓力變化。 A measuring method for diagnosing a pre-pressure imbalance of a ball lead screw by using a vibration signal, comprising the steps of: taking a vibration signal of a ball guiding screw device at different time points through a signal capturing module; using a signal pre-processing The module converts the vibration signals captured at different time points into a plurality of intrinsic mode function diagrams; and a signal analysis module extracts the ball from a plurality of intrinsic mode function diagrams at a preset vibration frequency. Each intrinsic mode function of the lead screw pre-stress characteristic signal; and converting each of the intrinsic mode functions into a multi-scale entropy analysis map through a signal post-processing module to measure the pre-pressure change of the ball lead screw. 如申請專利範圍第5項所述之利用振動訊號診斷滾珠導螺桿預壓力失調之量測方法,其中該內稟模式函數係表示振動訊號之瞬時振幅及瞬時頻率。 A method for measuring a pre-pressure imbalance of a ball lead screw using a vibration signal as described in claim 5, wherein the intrinsic mode function represents an instantaneous amplitude and an instantaneous frequency of the vibration signal. 如申請專利範圍第6項所述之利用振動訊號診斷滾珠導螺桿預壓力失調之量測方法,其中該訊號分析模組係將該內稟模式函數轉 換為一邊際圖譜,該邊際圖譜能表示滾珠導螺桿預壓力特徵訊號出現的頻率位置,以找出在該預設振動頻率下,出現滾珠導螺桿預壓力特徵訊號之該內稟模式函數。 A method for measuring a pre-pressure imbalance of a ball lead screw using a vibration signal as described in claim 6 of the patent application scope, wherein the signal analysis module converts the internal helium mode function In place of the marginal map, the marginal map can indicate the frequency position at which the ball lead screw pre-pressure characteristic signal appears to find the intrinsic mode function of the ball lead screw pre-pressure characteristic signal at the preset vibration frequency. 如申請專利範圍第5項所述之利用振動訊號診斷滾珠導螺桿預壓力失調之量測方法,其中該訊號擷取模組為一加速規。 The method for measuring the pre-pressure imbalance of the ball lead screw by using the vibration signal as described in claim 5, wherein the signal acquisition module is an acceleration gauge. 一種利用聲紋訊號診斷滾珠導螺桿預壓力失調之量測系統,係包含:一訊號擷取模組,係擷取滾珠導螺桿裝置運轉時產生之一聲紋訊號;一儲存模組,係儲存在不同預壓力條件之下,滾珠導螺桿裝置運轉時產生之該聲紋訊號之一聲紋數據;一訊號處理模組,係利用經驗模式分解法將該聲紋訊號轉換為一可表示在不同聲紋頻率之下,滾珠導螺桿預壓力特徵訊號之一內稟模式函數圖,並從中提取在一預設聲紋頻率下,出現滾珠導螺桿預壓力特徵訊號之一內稟模式函數;以及一訊號分析模組,係利用短時距傅立葉轉換(Short-Time Fourier Transform,STFT)將該內稟模式函數轉換為一時頻圖,並分析該時頻圖以產生一邊際時域圖(Marginal Time)及一邊際頻域圖(Marginal Frequency),並與該聲紋數據比對,以量測滾珠導螺桿預壓力變化。 A measuring system for diagnosing a pre-pressure imbalance of a ball lead screw by using a voiceprint signal comprises: a signal capturing module for generating a voiceprint signal when the ball guiding screw device is operated; and a storage module for storing Under different pre-stress conditions, one of the voiceprint signals generated by the ball screw device during operation; a signal processing module converts the voiceprint signal into one by using an empirical mode decomposition method. Below the voiceprint frequency, one of the in-line mode function diagrams of the ball lead screw pre-pressure characteristic signal, and extracting from a preset voiceprint frequency, an intrinsic mode function of one of the ball lead screw pre-pressure characteristic signals; The signal analysis module converts the intrinsic mode function into a time-frequency map by using Short-Time Fourier Transform (STFT), and analyzes the time-frequency map to generate a Marginal Time map. And the marginal frequency domain map (Marginal Frequency), and compared with the voiceprint data to measure the ball lead screw pre-pressure change. 如申請專利範圍第9項所述之利用聲紋訊號診斷滾珠導螺桿預壓力失調之量測系統,其中該內稟模式函數係表示該聲紋訊號之瞬時振幅及瞬時頻率。 A measuring system for diagnosing a ball lead screw pre-pressure imbalance using a voiceprint signal according to claim 9 wherein the intrinsic mode function represents an instantaneous amplitude and an instantaneous frequency of the voiceprint signal. 如申請專利範圍第9項所述之利用聲紋訊號診斷滾珠導螺桿預壓力失調之量測系統,其中該訊號擷取模組為一麥克風。 The measuring system for diagnosing the pre-pressure imbalance of the ball lead screw by using the voiceprint signal according to claim 9 of the patent application, wherein the signal capturing module is a microphone. 一種利用聲紋訊號診斷滾珠導螺桿預壓力失調之量測方法,係包含下列步驟:利用一訊號擷取模組擷取滾珠導螺桿裝置運轉時產生之一聲紋訊號;藉由一儲存模組儲存在不同預壓力條件之下,滾珠導螺桿裝置運轉時產生之該聲紋訊號之一聲紋數據;由一訊號處理模組利用經驗模式分解法將該聲紋訊號轉換為一內稟模式函數圖,並從中提取在一預設聲紋頻率下,出現滾珠導螺桿預壓力特徵訊號之一內稟模式函數;以及透過一訊號分析模組將該內稟模式函數轉換為一時頻圖、一邊際時域圖及一邊際頻域圖,並與該聲紋數據比對,以量測滾珠導螺桿預壓力變化。 A method for measuring a pre-pressure imbalance of a ball lead screw by using a voiceprint signal comprises the steps of: using a signal capture module to capture a voice signal generated during operation of the ball guide screw device; Stored under different pre-stress conditions, one of the voiceprint data generated by the ball guide screw device during operation; the signal processing module uses an empirical mode decomposition method to convert the voiceprint signal into an internal mode function And extracting from a preset voiceprint frequency, an intrinsic mode function of one of the ball lead screw pre-stress characteristic signals; and converting the intrinsic mode function into a time-frequency diagram and a side by a signal analysis module The time domain map and the inter-frequency frequency domain map are compared with the voiceprint data to measure the pre-pressure change of the ball lead screw. 如申請專利範圍第12項所述之利用聲紋訊號診斷滾珠導螺桿預壓力失調之量測方法,其中該內稟模式函數係表示該聲紋訊號之瞬時振幅及瞬時頻率。 A method for measuring a pre-pressure imbalance of a ball lead screw using a voiceprint signal as described in claim 12, wherein the intrinsic mode function represents an instantaneous amplitude and an instantaneous frequency of the voiceprint signal. 如申請專利範圍第12項所述之利用聲紋訊號診斷滾珠導螺桿預壓力失調之量測方法,其中該訊號擷取模組為一麥克風。 The method for measuring a pre-pressure imbalance of a ball lead screw using a voiceprint signal as described in claim 12, wherein the signal acquisition module is a microphone.
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