Data acquisition and preprocessing

  • What do you mean by data preprocessing?

    Data preprocessing is the concept of changing the raw data into a clean data set.
    The dataset is preprocessed in order to check missing values, noisy data, and other inconsistencies before executing it to the algorithm..

  • What is data acquisition and pre processing?

    The goal of data preprocessing is to eliminate the noise imbedded in the signal and extract key‐feature related information.
    Data preprocessing consists of three steps: segmentation, cleaning, and feature extraction..

  • What is data acquisition and processing?

    Data acquisition (commonly abbreviated as DAQ or DAS) is the process of sampling signals that measure real-world physical phenomena and converting them into a digital form that can be manipulated by a computer and software..

  • What is the data acquisition and processing process?

    Data acquisition (commonly abbreviated as DAQ or DAS) is the process of sampling signals that measure real-world physical phenomena and converting them into a digital form that can be manipulated by a computer and software..

  • In this article, you will learn about data preprocessing in Machine Learning: 7 easy steps to follow.

    1. Acquire the dataset
    2. Import all the crucial libraries
    3. Import the dataset
    4. Identifying and handling the missing values
    5. Encoding the categorical data
    6. Splitting the dataset
    7. Feature scaling
  • Data preprocessing is the concept of changing the raw data into a clean data set.
    The dataset is preprocessed in order to check missing values, noisy data, and other inconsistencies before executing it to the algorithm.
Data are acquired online after preprocessing. The data can be vibration, voltage, current, acoustic emission, sound signals, etc. Corresponding to the object, different preprocessing approaches are used, such as filtering (high-, low-, and band-pass), wavelet transform, and averaging.
Jul 28, 2016Commonly used as a preliminary data practice, data preprocessing transforms the data into a format that will be more easily and effectively 
Jul 28, 2016Data acquisition is a process of collecting and storing useful data (information) from targeted engineering assets for the purpose of condition 

1 Selecting A Proper Measure

A measure is defined as a unit or standard of measurement that provides a means for evaluating data.
In vibration analysis, three measures are available: displacement, velocity, and acceleration.
The measure is selected based on the frequency content of vibration present, type of machine, type of the analysis to be conducted, and information sought.

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2 Vibration Transducers

A transducers or sensor is a device that receives a signal and responds with an electrical signal.
A sensor or other technical measurement devices have some advantages to human inspection: They are reliable and precise, they can measure in unhealthy and hazardous conditions, they work fast, they work continuously, and they can perform measurements .

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3 Transducer Selection

Important considerations in transducer selection include frequency response, signal-to-noise ratio (SNR), the sensitivity of the transducer, and the strength of the signal being measured.
The frequency range of the transducer must be compatible with the frequency generated by the mechanical components of the machine.
Otherwise, another transducer m.

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5 Transducer Location

All vibration sensors measure motion along their major axis.
This fact should be considered in choosing the number of sensors.
Due to the structural asymmetry of machine cases, the vibration signals in the three axes of motion may differ.
Where practical, a transducer should be mounted in the vertical, horizontal, and axial planes to measure vibrat.

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7 Data Display

Vibration data from a machine running at a constant operating speed are generally repetitive.
Small variations do occur as a result of the influenced load, temperature, and process.
Environmental load conditions should be noted when the data are taken.
Data are typically displayed in the spectrum, waveform, and orbit. 1. (1) Time waveform Time wave.


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