Haifeng Se

ORCID: 0000-0003-2845-2108
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About
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Research Areas
  • Advanced Chemical Sensor Technologies
  • Gear and Bearing Dynamics Analysis
  • Gas Sensing Nanomaterials and Sensors
  • Gait Recognition and Analysis
  • Non-Invasive Vital Sign Monitoring
  • Context-Aware Activity Recognition Systems
  • Machine Learning and ELM
  • Insect Pheromone Research and Control
  • Air Quality Monitoring and Forecasting
  • Data Stream Mining Techniques
  • Machine Fault Diagnosis Techniques
  • Fire Detection and Safety Systems
  • Advanced machining processes and optimization
  • Olfactory and Sensory Function Studies
  • Anomaly Detection Techniques and Applications
  • Engineering Diagnostics and Reliability
  • Fault Detection and Control Systems

Harbin Institute of Technology
2022-2024

Shenyang Aerospace University
2021-2023

Falls are one of the leading causes disability and premature death among elderly.Technical solutions designed to automatically detect a fall event may mitigate fall-related health consequences by immediate medical assistance.This paper presents wearable device called TTXFD based on MPU6050 which can collect triaxial acceleration signals.We have also two-step detection algorithm that fuses threshold-based method (TBM) machine learning (ML).The exploits TBM stage with low computational...

10.24425/mms.2021.135999 article EN cc-by-nc-nd Metrology and Measurement Systems 2023-07-20

Abstract The rolling bearing fault detection technology solution can be used to maintain the machinery in advance and avoid downtime safety accidents. However, current studies primarily focus on utilizing complex algorithms improve accuracy of diagnosis, while neglecting influence extracted features diagnosis results, resulting redundancy conflict among features. To address such an issue, a feature selection method based compensation distance evaluation technique (CDET) is proposed optimize...

10.1088/1742-6596/2218/1/012063 article EN Journal of Physics Conference Series 2022-03-01
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