{
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  "description": "The present disclosure provides a sensor layout method for fault diagnosis of a piston-connecting rod system in a diesel engine, including: acquiring data in each sensor layout, and obtaining a feature vector of sensors through a data preprocessing module; taking the feature vector as an input of a…",
  "path": "/patents/1114574",
  "publishedAt": "2026-05-28T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "F02D41/22",
    "JIANGSU UNIVERSITY OF SCIENCE AND TECHNOLOGY"
  ],
  "textContent": "The present disclosure provides a sensor layout method for fault diagnosis of a piston-connecting rod system in a diesel engine, including: acquiring data in each sensor layout, and obtaining a feature vector of sensors through a data preprocessing module; taking the feature vector as an input of a long short-term memory (LSTM) neural network, taking actual faulty and normal operating condition codes as an output, and performing training to obtain a fault diagnosis model; taking a test dataset as an input of the fault diagnosis model, outputting a predicted operating condition code, and performing calculation to obtain a fault diagnosis accuracy rate; taking the fault diagnosis accuracy rate and the feature vector corresponding to each sensor layout as an input of a binary Aquila optimizer-based sensor network optimization module, and taking a binary code of an optimal sensor layout as an output.",
  "title": "SENSOR LAYOUT METHOD FOR FAULT DIAGNOSIS OF PISTON-CONNECTING ROD SYSTEM"
}