504a5551d6aff443737a · On the Use of Machine Learning for the Development of an Acoustic-based Detection System for Early-Stage Thermal Runaway
On the Use of Machine Learning for the Development of an Acoustic-based Detection System for Early-Stage Thermal Runaway
The paper presents the development of a multi-class classification model for the detection of early-stage thermal runaway events for button-top single-cell lithium-ion batteries. A signal gate mechanism is introduced to extract relevant acoustic data. A
{
"title_en": "On the Use of Machine Learning for the Development of an Acoustic-based Detection System for Early-Stage Thermal Runaway",
"designation": "",
"series": "",
"status": "",
"date": "2026-03-15",
"date_original": "March 15, 2026",
"url": "https://www.nist.gov/publications/use-machine-learning-development-acoustic-based-detection-system-early-stage-thermal",
"source": "NIST Publications",
"display_en": "",
"authors_en": "Wai Cheong Tam , Md. Ismail Siddiqi Emon , Jian Chen, Hongqiang Fang , Jun Deng, Anthony Putorti",
"abstract_excerpt_en": "The paper presents the development of a multi-class classification model for the detection of early-stage thermal runaway events for button-top single-cell lithium-ion batteries. A signal gate mechanism is introduced to extract relevant acoustic data. A",
"id": "504a5551d6aff443737a",
"sources": [
"NIST Publications"
],
"source_records": [
{
"title_en": "On the Use of Machine Learning for the Development of an Acoustic-based Detection System for Early-Stage Thermal Runaway",
"designation": "",
"series": "",
"status": "",
"date": "2026-03-15",
"date_original": "March 15, 2026",
"url": "https://www.nist.gov/publications/use-machine-learning-development-acoustic-based-detection-system-early-stage-thermal",
"source": "NIST Publications",
"display_en": "",
"authors_en": "Wai Cheong Tam , Md. Ismail Siddiqi Emon , Jian Chen, Hongqiang Fang , Jun Deng, Anthony Putorti",
"abstract_excerpt_en": "The paper presents the development of a multi-class classification model for the detection of early-stage thermal runaway events for button-top single-cell lithium-ion batteries. A signal gate mechanism is introduced to extract relevant acoustic data. A"
}
],
"translation_state": "none"
}