menu
{ "item_title" : "Advances in Condition Monitoring of Machinery in Non-Stationary Operations", "item_author" : [" Alfonso Fernandez del Rincon", "Fernando Viadero Rueda", "Fakher Chaari "], "item_description" : "Condition Monitoring in Non-Stationary Operations.- Extraction of Weak Bearing Fault Signatures from Non-Stationary Signals Using Parallel Wavelet Denoising.- Neighbor Retrieval Visualizer for Monitoring Lifting Cranes.- Monitoring and Diagnostic Systems.- Convolutional Neural Networks for Fault Diagnosis Using Rotating Speed Normalized Vibration.- Monitoring of a High-Speed Train Bogie Using the EMD Technique.- Default Detection in a Back-To-Back Planetary Gear-Box through Current and Vibration Signals.- Noise and Vibration in Machines.- Identification of Torsional Vibration Modal Parameters: Application on a Ferrari Engine Crankshaft.- Experimental Characterization of Metal-Mesh Isolators Damping Capacity by Constitutive Mechanical Model.- Signal Processing.- Separation of Impulse from Oscillation for Detection of Bearing Defect in the Vibration Signal.- Vibro-Acoustic Diagnosis of Machinery.- Cyclo-Non-Stationary Based Bearing Diagnostics of Planetary Gearboxes.- Cyclostationary Approach for Long Term Vibration Data Analysis.- Monitoring of Soil Density During Compaction Processes.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/3/03/011/219/3030112195_b.jpg", "price_data" : { "retail_price" : "249.99", "online_price" : "249.99", "our_price" : "249.99", "club_price" : "249.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Advances in Condition Monitoring of Machinery in Non-Stationary Operations|Alfonso Fernandez del Rincon

Advances in Condition Monitoring of Machinery in Non-Stationary Operations : Proceedings of the 6th International Conference on Condition Monitoring of

local_shippingShip to Me
In Stock.
FREE Shipping for Club Members help

Overview

Condition Monitoring in Non-Stationary Operations.- Extraction of Weak Bearing Fault Signatures from Non-Stationary Signals Using Parallel Wavelet Denoising.- Neighbor Retrieval Visualizer for Monitoring Lifting Cranes.- Monitoring and Diagnostic Systems.- Convolutional Neural Networks for Fault Diagnosis Using Rotating Speed Normalized Vibration.- Monitoring of a High-Speed Train Bogie Using the EMD Technique.- Default Detection in a Back-To-Back Planetary Gear-Box through Current and Vibration Signals.- Noise and Vibration in Machines.- Identification of Torsional Vibration Modal Parameters: Application on a Ferrari Engine Crankshaft.- Experimental Characterization of Metal-Mesh Isolators Damping Capacity by Constitutive Mechanical Model.- Signal Processing.- Separation of Impulse from Oscillation for Detection of Bearing Defect in the Vibration Signal.- Vibro-Acoustic Diagnosis of Machinery.- Cyclo-Non-Stationary Based Bearing Diagnostics of Planetary Gearboxes.- Cyclostationary Approach for Long Term Vibration Data Analysis.- Monitoring of Soil Density During Compaction Processes.

This item is Non-Returnable

Details

  • ISBN-13: 9783030112196
  • ISBN-10: 3030112195
  • Publisher: Springer
  • Publish Date: February 2019
  • Dimensions: 9.21 x 6.14 x 0.94 inches
  • Shipping Weight: 1.73 pounds
  • Page Count: 423

Related Categories

You May Also Like...

    1

BAM Customer Reviews