Item talk:Q166524

{

 "OpenAlex": {
   "display_name": "Process Fault Detection and Diagnosis in Industries",
   "description": "This cluster of papers focuses on the application of various data-driven and statistical techniques for process fault detection and diagnosis in industrial settings. It covers topics such as process monitoring, fault isolation, soft sensors, model-based diagnosis, and the use of machine learning in analyzing and improving industrial processes.",
   "keywords": [
     "Process Monitoring",
     "Fault Detection",
     "Data-Driven Techniques",
     "Statistical Analysis",
     "Soft Sensors",
     "Model-Based Diagnosis",
     "Industrial Processes",
     "Multivariate Statistical Methods",
     "Fault Isolation",
     "Machine Learning"
   ],
   "ids": {
     "openalex": "https://openalex.org/T10876",
     "wikipedia": "https://en.wikipedia.org/wiki/Fault_detection_and_isolation"
   },
   "subfield": {
     "id": "https://openalex.org/subfields/2207",
     "display_name": "Control and Systems Engineering"
   },
   "field": {
     "id": "https://openalex.org/fields/22",
     "display_name": "Engineering"
   },
   "domain": {
     "id": "https://openalex.org/domains/3",
     "display_name": "Physical Sciences"
   },
   "updated_date": "2024-08-12T06:00:24.902318",
   "created_date": "2024-01-23",
   "type": "topic",
   "oa_id": "T10876",
   "id": "https://openalex.org/T10876"
 }

}