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OpenAlex: !!python/object/new:pyalex.api.Topic
{
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   "OpenAlex": {
     cited_by_count: 663746
     "display_name": "Machine Fault Diagnosis and Prognostics",
    created_date: '2024-01-23'
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     description: This cluster of papers focuses on machine fault diagnosis and prognostics
     "keywords": [
      using methods such as Empirical Mode Decomposition, wavelet transform, and deep
       "Empirical Mode Decomposition",
      learning. It covers topics like condition monitoring, vibration analysis, and
      "Fault Diagnosis",
      remaining useful life estimation for rotating machinery. The research explores
      "Machine Learning",
      the application of machine learning techniques, neural networks, and signal
      "Condition Monitoring",
      processing in fault detection and health management of various mechanical systems.
      "Vibration Analysis",
     display_name: Machine Fault Diagnosis and Prognostics
      "Deep Learning",
    domain:
      "Remaining Useful Life Estimation",
       display_name: Physical Sciences
      "Wavelet Transform",
      id: https://openalex.org/domains/3
      "Rotating Machinery",
    field:
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      display_name: Engineering
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       "display_name": "Control and Systems Engineering"
    - Fault Diagnosis
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     "field": {
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       "id": "https://openalex.org/fields/22",
    - Vibration Analysis
       "display_name": "Engineering"
    - Deep Learning
     },
    - Remaining Useful Life Estimation
     "domain": {
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       "id": "https://openalex.org/domains/3",
    - Rotating Machinery
       "display_name": "Physical Sciences"
    - Neural Networks
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    - display_name: Analysis and Control of Distributed Parameter Systems
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}
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     - display_name: Applications of Programmable Logic Controllers (PLCs)
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     - display_name: Cloud Robotics and Automation Research
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     - display_name: Pulsed Power Technology and Applications
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    - display_name: Security Challenges in Smart Grid Systems
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    updated_date: '2024-05-20T05:04:30.364358'
    works_count: 40770

Latest revision as of 20:26, 12 September 2024

{

 "OpenAlex": {
   "display_name": "Machine Fault Diagnosis and Prognostics",
   "description": "This cluster of papers focuses on machine fault diagnosis and prognostics using methods such as Empirical Mode Decomposition, wavelet transform, and deep learning. It covers topics like condition monitoring, vibration analysis, and remaining useful life estimation for rotating machinery. The research explores the application of machine learning techniques, neural networks, and signal processing in fault detection and health management of various mechanical systems.",
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     "Empirical Mode Decomposition",
     "Fault Diagnosis",
     "Machine Learning",
     "Condition Monitoring",
     "Vibration Analysis",
     "Deep Learning",
     "Remaining Useful Life Estimation",
     "Wavelet Transform",
     "Rotating Machinery",
     "Neural Networks"
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   "type": "topic",
   "oa_id": "T10220",
   "id": "https://openalex.org/T10220"
 }

}