Aircraft gearbox fault diagnosis system: an approach based on deep learning techniques
Gearbox is one of the vital components in aircraft engines. If any small damage to gearbox, it
can cause the breakdown of aircraft engine. Thus it is significant to study fault diagnosis in
gearbox system. In this paper, two deep learning models (Long short term memory (LSTM)
and Bi-directional long short term memory (BLSTM)) are proposed to classify the condition of
gearbox into good or bad. These models are applied on aircraft gearbox vibration data in
both time and frequency domain. A publicly available aircraft gearbox vibration dataset is …
can cause the breakdown of aircraft engine. Thus it is significant to study fault diagnosis in
gearbox system. In this paper, two deep learning models (Long short term memory (LSTM)
and Bi-directional long short term memory (BLSTM)) are proposed to classify the condition of
gearbox into good or bad. These models are applied on aircraft gearbox vibration data in
both time and frequency domain. A publicly available aircraft gearbox vibration dataset is …
Aircraft Gearbox Fault Diagnosis System: An Approach based on Deep Learning Techniques
NC Kundur, S Manjunath, M Sreenatha… - 2020 - philpapers.org
Gearbox is one of the vital components in aircraft engines. If any small damage to gearbox, it
can cause the breakdown of aircraft engine. Thus it is significant to study fault diagnosis in
gearbox system. In this paper, two deep learning models (Long short term memory (LSTM)
and Bi-directional long short term memory (BLSTM)) are proposed to classify the condition of
gearbox into good or bad. These models are applied on aircraft gearbox vibration data in
both time and frequency domain. A publicly available aircraft gearbox vibration dataset is …
can cause the breakdown of aircraft engine. Thus it is significant to study fault diagnosis in
gearbox system. In this paper, two deep learning models (Long short term memory (LSTM)
and Bi-directional long short term memory (BLSTM)) are proposed to classify the condition of
gearbox into good or bad. These models are applied on aircraft gearbox vibration data in
both time and frequency domain. A publicly available aircraft gearbox vibration dataset is …
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