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usb digital accelerometer pcb piezotronics 333d01  (PCB Piezotronics)

 
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    Structured Review

    PCB Piezotronics usb digital accelerometer pcb piezotronics 333d01

    Usb Digital Accelerometer Pcb Piezotronics 333d01, supplied by PCB Piezotronics, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/usb+digital+accelerometer+pcb+piezotronics+333d01/333d01+accelerometer/pmc11437749-3-10-13
    Average 90 stars, based on 1 article reviews
    usb digital accelerometer pcb piezotronics 333d01 - by Bioz Stars, 2026-10
    90/100 stars

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    1) Product Images from "Multi-domain vibration dataset with various bearing types under compound machine fault scenarios"

    Article Title: Multi-domain vibration dataset with various bearing types under compound machine fault scenarios

    Journal: Data in Brief

    doi: 10.1016/j.dib.2024.110940


    Figure Legend Snippet:

    Techniques Used: Biomarker Discovery, Sampling

    Related Articles

    AST Assay:

    Article Title: Multi-domain vibration dataset with various bearing types under compound machine fault scenarios
    Article Snippet: .. Data collection , Raw vibration data were gathered using a USB digital accelerometer (PCB Piezotronics 333D01) from the AST fault simulator at sampling rates of 8 kHz and 16 kHz. Looseness, unbalance, and misalignment were simulated for faults of rotating components. Three types of bearing were used to generate multi-domain datasets: a deep groove ball bearing (6204), cylindrical roller bearings (N204 and NJ204), and a tapered roller bearing (30204), each with the ball, inner-raceway, and outer-raceway faults. Additionally, data were collected at six different rotating speeds. The raw vibration signals were also converted to 2-D spectrograms using the short-time Fourier transform (STFT) by the MATLAB program.. ..

    Sampling:

    Article Title: Multi-domain vibration dataset with various bearing types under compound machine fault scenarios
    Article Snippet: .. Data collection , Raw vibration data were gathered using a USB digital accelerometer (PCB Piezotronics 333D01) from the AST fault simulator at sampling rates of 8 kHz and 16 kHz. Looseness, unbalance, and misalignment were simulated for faults of rotating components. Three types of bearing were used to generate multi-domain datasets: a deep groove ball bearing (6204), cylindrical roller bearings (N204 and NJ204), and a tapered roller bearing (30204), each with the ball, inner-raceway, and outer-raceway faults. Additionally, data were collected at six different rotating speeds. The raw vibration signals were also converted to 2-D spectrograms using the short-time Fourier transform (STFT) by the MATLAB program.. ..



    Similar Products

    usb digital accelerometer pcb piezotronics 333d01  (PCB Piezotronics)
    90
    PCB Piezotronics usb digital accelerometer pcb piezotronics 333d01

    Usb Digital Accelerometer Pcb Piezotronics 333d01, supplied by PCB Piezotronics, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/usb+digital+accelerometer+pcb+piezotronics+333d01/333d01+accelerometer/pmc11437749-3-10-13
    Average 90 stars, based on 1 article reviews
    usb digital accelerometer pcb piezotronics 333d01 - by Bioz Stars, 2026-10
    90/100 stars
    		  Buy from Supplier

    Image Search Results


    Journal: Data in Brief

    Article Title: Multi-domain vibration dataset with various bearing types under compound machine fault scenarios

    doi: 10.1016/j.dib.2024.110940

    Figure Lengend Snippet:

    Article Snippet: Data collection , Raw vibration data were gathered using a USB digital accelerometer (PCB Piezotronics 333D01) from the AST fault simulator at sampling rates of 8 kHz and 16 kHz. Looseness, unbalance, and misalignment were simulated for faults of rotating components. Three types of bearing were used to generate multi-domain datasets: a deep groove ball bearing (6204), cylindrical roller bearings (N204 and NJ204), and a tapered roller bearing (30204), each with the ball, inner-raceway, and outer-raceway faults. Additionally, data were collected at six different rotating speeds. The raw vibration signals were also converted to 2-D spectrograms using the short-time Fourier transform (STFT) by the MATLAB program..

    Techniques: Biomarker Discovery, Sampling