Cross modal knowledge distillation for enhancing current based motor fault diagnosis performance
in Project on Project
Weight adaptive multi source domain adaptation for motor fault diagnosis
in Project on Project
HRD Fault diagnosis using hybrid method of deep learning and signal processing
in Project on Project
Background of research
HRD is used in many drilling operations like excavation and it is important in mining industry. As HRD frequently operates under harsh conditions, diverse failures modes occur and these makes potentials for personal injuries and economic losses. So, Reliable and prompt fault diagnosis method is needed to ensure safety from accidents
Resume
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EDUCATION
MS student in Mechanical Engineering Seoul National University, 2022 to Present
- Research topics: Deep Learning, Fault Diagnosis, Motor
Genetic Algorithm
in machine-learning on Machinelearning
Heuristic solution to imitate the genetic algorithm is the biological world evolution.
Gaussian Process
in machine-learning on Machinelearning
Random variable: Defined as a function that corresponds the real value to the result of a probability experiment
Bayesian Optimization
in machine-learning on Machinelearning
1. Black box optimization problem
- The black box optimization problem refers to an optimization problem with unknown relationships between objective functions, constraints, and determinants. Specifically, it refers to a problem in which you do not know the objective function value according to the decision variable or whether you satisfy the constraint without additional experiments and measurements.
ARIMA(Autoregressive Integrated Moving Average)
in machine-learning on Timeseries
Time Series Data Analysis Method and ARIMA Machine Learning Method
Welcome to My Blog
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Hi everyone, nice to meet you! 😀
Depthwise Separable CNN
in deep-learning on Cnn
Existing two-dimensional convolution has three problems.
- Expensive Cost
- Dead Channels
- Low Correlation between channels