APVC2021 Automated failure diagnostic system for a cylinder of the hydraulic pressing machine

LI Zhe, O Terashima, N Takeda, K Shige - 2023 - researchsquare.com
Due to the impact of the COVID-19 pandemic and declining working-age populations in
certain countries, manufacturing and production sites have actively enhanced production …

APVC2021 Automated failure diagnostic system for a cylinder of the hydraulic pressing machine

Z LI, O Terashima, N Takeda, K Shige - 2023 - europepmc.org
Due to the impact of the COVID-19 pandemic and declining working-age populations in
certain countries, manufacturing and production sites have actively enhanced production …

Study on the machine-learning based system for detecting abnormal pressure drops in hydraulic press machines

N Takeda, Z Li, K Shige, O Terashima - The International Journal of …, 2024 - Springer
Due to declining working-age populations in some countries, manufacturing and production
sites are increasingly leveraging digital technologies to boost efficiency and labor …

Comprehensive machine and deep learning fault detection and classification approaches of industry 4.0 mechanical machineries: with application to a hydraulic test …

A Mallak - 2021 - 141.99.19.133
Anomaly occurrences in mechanical equipment within industry 4.0 may lead to massive
systems shut down, jeopardizing the safety of the machinery and its surrounding human …

A machine learning-based signal analytics framework for diagnosing the anomalies of centrifugal pumps

김강휘, 강지훈, 박승환 - Journal of the Korean Society for Precision …, 2021 - dbpia.co.kr
A smart factory with Big Data analytics is getting attention because of its ability to automate
and make the manufacturing environment more intelligent. At the same time, higher …

Real-time Fault Detection System of a Pneumatic Cylinder Via Deep-learning Model Considering Time-variant Characteristic of Sensor Data

BS Kim, GM Song, MJ Lee, S Baek - Journal of Korean Society of …, 2024 - koreascience.kr
In recent automated manufacturing systems, compressed air-based pneumatic cylinders
have been widely used for basic perpetration including picking up and moving a target …

An integrated deep learning method towards fault diagnosis of hydraulic axial piston pump

S Tang, S Yuan, Y Zhu, G Li - Sensors, 2020 - mdpi.com
A hydraulic axial piston pump is the essential component of a hydraulic transmission system
and plays a key role in modern industry. Considering varying working conditions and the …

센서데이터의시계열특성을고려한딥러닝모델기반의공압실린더고장감지시스템구현

김병수, 송근명, 이민정, 백수정 - 한국산업경영시스템학회지, 2024 - kci.go.kr
In recent automated manufacturing systems, compressed air-based pneumatic cylinders
have been widely used for basic perpetra-tion including picking up and moving a target …

Development of AI-Based Condition Monitoring System for Failure Diagnosis of Excavator's Travel Device

HS Baek, JH Shin, SJ Kim - Journal of Drive and Control, 2021 - koreascience.kr
There is an increasing interest in condition-based maintenance for the prevention of
economic loss due to failure. Moreover, immense research is being carried out in related …

Transfer Learning-Based Fault Diagnosis of Single-Stage Single-Acting Air Compressor

G Chakrapani, S Naveen Venkatesh, S Aravinth… - Journal of Vibration …, 2024 - Springer
Introduction Reciprocating air compressor, which is also known as piston compressor is one
of the crucial machinery used in various production lines to move gas at high pressure …