{
"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"
}
}