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Vibration

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Effects of vertical vibration on sitting comfort in civil aviation during the cruising flight.

Ergonomics
This paper investigated the effects of vertical vibration on sitting comfort in civil aviation, with particular attention to high-frequency components (i.e. 30‒100 Hz). We generated 24 vibration stimuli at four positions (i.e. the co-pilot, front, mi...

An Integrated Approach Fusing CEEMD Energy Entropy and Sparrow Search Algorithm-Based PNN for Fault Diagnosis of Rolling Bearings.

Computational intelligence and neuroscience
This paper solves the problem of difficulty in achieving satisfactory results with traditional methods of bearing fault diagnosis, which can effectively extract the fault information and improve the fault diagnosis accuracy. This paper proposes a nov...

Fault Diagnosis of Wind Turbine Based on Convolution Neural Network Algorithm.

Computational intelligence and neuroscience
Relying on expert diagnosis, it solves the problem of fan failure efficiency and meets the needs of automatic inspection and intelligent operation monitoring of fans. In order to make up for the deficiency of intelligent diagnosis of bearing fault ba...

Comparative Study of Structural Anomaly Diagnosis Based on ANN Model Using Random Displacement and Acceleration Responses with Incomplete Measurements.

Sensors (Basel, Switzerland)
Structural anomaly diagnosis, such as damage identification, is a continuously interesting issue. Artificial neural networks have an excellent ability to model complex structure dynamics. In this paper, an artificial neural network model is used to d...

Rolling Bearing Fault Diagnosis Based on Markov Transition Field and Residual Network.

Sensors (Basel, Switzerland)
Data-driven rolling-bearing fault diagnosis methods are mostly based on deep-learning models, and their multilayer nonlinear mapping capability can improve the accuracy of intelligent fault diagnosis. However, problems such as gradient disappearance ...

Efficient Feature Learning Approach for Raw Industrial Vibration Data Using Two-Stage Learning Framework.

Sensors (Basel, Switzerland)
In the last decades, data-driven methods have gained great popularity in the industry, supported by state-of-the-art advancements in machine learning. These methods require a large quantity of labeled data, which is difficult to obtain and mostly cos...

Analysis of the Vibration Characteristics of a Leaf Spring System Using Artificial Neural Networks.

Sensors (Basel, Switzerland)
The real-time vibrations occurring in a leaf spring system may cause undesirable effects, such as stresses, strains, deflections, and surface deformations over the system. In order to detect the most appropriate working conditions in which the leaf s...

Haptic perception using optoelectronic robotic flesh for embodied artificially intelligent agents.

Science robotics
Flesh encodes a variety of haptic information including deformation, temperature, vibration, and damage stimuli using a multisensory array of mechanoreceptors distributed on the surface of the human body. Currently, soft sensors are capable of detect...

Generative Adversarial Neural Networks for Denoising Coherent Multidimensional Spectra.

The journal of physical chemistry. A
Ultrafast spectroscopy often involves measuring weak signals and long data acquisition times. Spectra are typically collected as a "pump-probe" spectrum by measuring differences in intensity across laser shots. Shot-to-shot intensity fluctuations are...

Chatter Monitoring of Machining Center Using Head Stock Structural Vibration Analyzed with a 1D Convolutional Neural Network.

Sensors (Basel, Switzerland)
Real-time chatter detection is crucial for the milling process to maintain the workpiece surface quality and minimize the generation of defective parts. In this study, we propose a new methodology based on the measurement of machine head stock struct...