Internal Leakage Diagnosis of a Hydraulic Cylinder Using C-LSTM Neural Network
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-3087-2_5
Reference9 articles.
1. Prakash J, Miglani A, Kankar PK (2023) Internal leakage detection in hydraulic pump using model-agnostic feature ranking and ensemble classifiers. J Comput Inf Sci Eng 23(4):041005
2. Goharrizi AY, Sepehri N (2012) Internal leakage detection in hydraulic actuators using empirical mode decomposition and Hilbert spectrum. IEEE Trans Instrum Meas 61(2):368–378. https://doi.org/10.1109/TIM.2011.2161938
3. Goharrizi AY, Sepehri N (2011) A wavelet-based approach for external leakage detection and isolation from internal leakage in valve-controlled hydraulic actuators. IEEE Trans Industr Electron 58(9):4374–4384. https://doi.org/10.1109/TIE.2010.2095396
4. Guo Y, Zeng Y, Fu L, Chen X (2019) Modeling and experimental study for online measurement of hydraulic cylinder micro leakage based on convolutional neural network. Sensors 19:2159
5. Ranawat NS, Prakash J, Miglani A, Kankar PK (2023) Performance evaluation of LSTM and Bi-LSTM using non-convolutional features for blockage detection in centrifugal pump. Eng Appl Artif Intell 122:106092
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