AIMC Topic: Equipment Failure Analysis

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Elephant-inspired tapered cable-driven hyper-redundant manipulator: design and performance analysis.

Bioinspiration & biomimetics Jan 24, 2025
The cable-driven hyper-redundant manipulator (CDHM), distinguished by its high flexibility and adjustable stiffness, is extensively utilized in confined and obstacle-rich environments such as aerospace and nuclear facilities. This paper introduces a ...
Biomechanical Phenomena Animals Computer Simulation Biomimetics Equipment Failure Analysis Elephants Robotics Equipment Design
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Hydrodynamic pressure sensing for a biomimetic robotic fish caudal fin integrated with a resistive pressure sensor.

Bioinspiration & biomimetics Aug 22, 2024
Micro-sensors, such as pressure and flow sensors, are usually adopted to attain actual fluid information around swimming biomimetic robotic fish for hydrodynamic analysis and control. However, most of the reported micro-sensors are mounted discretely...
Animals Robotics Equipment Design Biomimetic Materials Swimming Fishes Hydrodynamics Animal Fins Pressure Transducers Biomimetics Equipment Failure Analysis Transducers, Pressure
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A RUL Estimation System from Clustered Run-to-Failure Degradation Signals.

Sensors (Basel, Switzerland) Jul 16, 2022
The prognostics and health management disciplines provide an efficient solution to improve a system's durability, taking advantage of its lifespan in functionality before a failure appears. Prognostics are performed to estimate the system or subsyste...
Neural Networks, Computer Equipment Failure Analysis
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A Robust Deep Neural Network for Rolling Element Fault Diagnosis under Various Operating and Noisy Conditions.

Sensors (Basel, Switzerland) Jun 22, 2022
This study proposes a new intelligent diagnostic method for bearing faults in rotating machinery. The method uses a combination of nonlinear mode decomposition based on the improved fast kurtogram, gramian angular field, and convolutional neural netw...
Signal-To-Noise Ratio Equipment Failure Analysis Algorithms Reproducibility of Results Humans Neural Networks, Computer
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Intelligent Fault Diagnosis and Forecast of Time-Varying Bearing Based on Deep Learning VMD-DenseNet.

Sensors (Basel, Switzerland) Nov 10, 2021
Rolling bearings are important in rotating machinery and equipment. This research proposes variational mode decomposition (VMD)-DenseNet to diagnose faults in bearings. The research feature involves analyzing the Hilbert spectrum through VMD whereby ...
Physical Therapy Modalities Vibration Intelligence Equipment Failure Analysis Deep Learning
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Application Combining VMD and ResNet101 in Intelligent Diagnosis of Motor Faults.

Sensors (Basel, Switzerland) Sep 10, 2021
Motor failure is one of the biggest problems in the safe and reliable operation of large mechanical equipment such as wind power equipment, electric vehicles, and computer numerical control machines. Fault diagnosis is a method to ensure the safe ope...
Vibration Neural Networks, Computer Equipment Failure Analysis Physical Therapy Modalities Algorithms
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Crack Size Identification for Bearings Using an Adaptive Digital Twin.

Sensors (Basel, Switzerland) Jul 23, 2021
In this research, the aim is to investigate an adaptive digital twin algorithm for fault diagnosis and crack size identification in bearings. The main contribution of this research is to design an adaptive digital twin (ADT). The design of the ADT te...
Reproducibility of Results Support Vector Machine Equipment Failure Analysis Fuzzy Logic Humans Algorithms
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Pre-Processing Method to Improve Cross-Domain Fault Diagnosis for Bearing.

Sensors (Basel, Switzerland) Jul 21, 2021
Models trained with one system fail to identify other systems accurately because of domain shifts. To perform domain adaptation, numerous studies have been conducted in many fields and have successfully aligned different domains into one domain. The ...
Humans Vibration Equipment Failure Analysis Physical Therapy Modalities Artificial Intelligence Algorithms
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A fault diagnosis method based on Auxiliary Classifier Generative Adversarial Network for rolling bearing.

PloS one Mar 1, 2021
Rolling bearing fault diagnosis is one of the challenging tasks and hot research topics in the condition monitoring and fault diagnosis of rotating machinery. However, in practical engineering applications, the working conditions of rotating machiner...
Neural Networks, Computer Rotation Equipment Failure Analysis
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Machine learning for pattern detection in cochlear implant FDA adverse event reports.

Cochlear implants international Jul 5, 2020
Medical device performance and safety databases can be analyzed for patterns and novel opportunities for improving patient safety and/or device design. The objective of this analysis was to use supervised machine learning to explore patterns in rep...
Bayes Theorem United States Food and Drug Administration Logistic Models Female United States Cochlear Implantation Public Reporting of Healthcare Data Cochlear Implants Adult Equipment Failure Analysis Male Algorithms Humans Databases, Factual Machine Learning Child
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