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An Integrated Order Tracking and Angular Domain Multi-Feature Correlation Method for Multi-Fault Diagnosis of Reciprocating Machinery

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Vibration–based Condition Monitoring
inferredcites →https://doi.org/10.1007/s12206-018-0809-1openalex-extracted
Dynamic behavior analysis of reciprocating compressor with subsidence fault considering flexible piston rod
inferredcites →https://doi.org/10.1016/j.conengprac.2019.02.001openalex-extracted
Fault detection for sucker rod pump based on motor power
inferredcites →https://doi.org/10.1016/j.engfracmech.2009.09.016openalex-extracted
Accelerated natural fault diagnosis in slow speed bearings with Acoustic Emission
inferredcites →https://doi.org/10.1016/j.eswa.2013.01.033openalex-extracted
Fault diagnosis of rolling element bearing with intrinsic mode function of acoustic emission data using APF-KNN
inferredcites →https://doi.org/10.1016/j.isatra.2014.08.007openalex-extracted
Application of higher order spectral features and support vector machines for bearing faults classification
inferredcites →https://doi.org/10.1016/j.jsv.2019.115065openalex-extracted
Fault diagnosis of planetary gearbox under variable-speed conditions using an improved adaptive chirp mode decomposition
inferredcites →https://doi.org/10.1016/j.measurement.2014.08.028openalex-extracted
Empirical investigation of acoustic emission signals for valve failure identification by using statistical method
inferredcites →https://doi.org/10.1016/j.measurement.2023.113026openalex-extracted
Fault diagnosis of reciprocating machinery based on improved MEEMD-SqueezeNet
inferredcites →https://doi.org/10.1016/j.petrol.2013.08.052openalex-extracted
Continuous wavelet transformation: A novel approach for better detection of mud pulses
inferredcites →https://doi.org/10.1016/j.petrol.2018.04.004openalex-extracted
Auto measurement while drilling mud pulse signal recognition based on deep neural network
inferredcites →https://doi.org/10.1016/j.petrol.2020.107432openalex-extracted
Mud pulse signal demodulation based on support vector machines and particle swarm optimization
inferredcites →https://doi.org/10.1016/j.petrol.2021.108433openalex-extracted
Study on model-based pump noise suppression method of mud pulse signal
inferredcites →https://doi.org/10.1016/j.ymssp.2012.08.019openalex-extracted
Roller element bearing fault diagnosis using singular spectrum analysis
inferredcites →https://doi.org/10.1016/j.ymssp.2014.11.002openalex-extracted
Fault diagnosis of reciprocating compressor valve with the method integrating acoustic emission signal and simulated valve motion
inferredcites →https://doi.org/10.1016/j.ymssp.2022.109974openalex-extracted
A CNN model based on innovative expansion operation improving the fault diagnosis accuracy of drilling pump fluid end
inferredcites →https://doi.org/10.1016/s1876-3804(12)60107-4openalex-extracted
Extracting pulse signals in measurement while drilling using optimum denoising methods based on the ensemble empirical mode decomposition
inferredcites →https://doi.org/10.1109/access.2021.3056437openalex-extracted
An Integrated Approach Based on Improved CEEMDAN and LSTM Deep Learning Neural Network for Fault Diagnosis of Reciprocating Pump
inferredcites →https://doi.org/10.1109/tim.2014.2330494openalex-extracted
Bearing Health Monitoring Based on Hilbert–Huang Transform, Support Vector Machine, and Regression
inferredcites →https://doi.org/10.17402/117openalex-extracted
The assessment of the operational suitability of mud pumps on deep water drillships depends on maintenance strategy
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