{"slug": "bearingnas-obtaining-in-sensor-intelligent-fault-diagnosis-systems-for-bearings", "title": "BearingNAS: Obtaining In-Sensor Intelligent Fault Diagnosis Systems for Bearings Using a Laptop", "summary": "BearingNAS, a Hardware-Aware Neural Network Architecture Search framework, enables in-sensor intelligent fault diagnosis for bearings using only a laptop CPU, achieving 99.50% diagnostic accuracy on the LSM6DSO16IS Intelligent Sensor Processing Unit (ISPU) from STMicroelectronics. The search converges in under an hour and targets extreme micro-budgets of 4–8 kiB RAM and 16–32 kiB Flash, eliminating the need for expensive GPUs.", "body_md": "arXiv:2607.18287v1 Announce Type: new\nAbstract: This paper introduces BearingNAS, a Hardware-Aware Neural Architecture Search (HW-NAS) framework designed to shift the intelligence directly onto the sensor die via in-sensor processing. BearingNAS frames the search as a constrained optimization problem targeting extreme micro-budgets (4 to 8 kiB of RAM and 16 to 32 kiB of Flash). To eliminate the reliance on expensive discrete GPUs, we propose a lightweight, derivative-free search strategy paired with a single data-flow search space that leverages a decaying kernel growth formulation to prevent parameter explosion. We evaluate our framework on the Case Western Reserve University (CWRU) bearing benchmark, optimizing architectures for three STMicroelectronics targets: two commodity microcontrollers and the LSM6DSO16IS Intelligent Sensor Processing Unit (ISPU). Running entirely on a laptop CPU, the search converges in less than an hour. The resulting best in-sensor architecture achieves a highly competitive diagnostic accuracy of 99.50\\% on the ISPU. These results demonstrate the viability of shifting the machine learning workload inside the sensor package, enabling low-cost, production-scale bearing fault diagnosis.", "url": "https://wpnews.pro/news/bearingnas-obtaining-in-sensor-intelligent-fault-diagnosis-systems-for-bearings", "canonical_source": "https://arxiv.org/abs/2607.18287", "published_at": "2026-07-22 04:00:00+00:00", "updated_at": "2026-07-22 04:18:20.667841+00:00", "lang": "en", "topics": ["artificial-intelligence", "machine-learning", "neural-networks", "ai-infrastructure"], "entities": ["BearingNAS", "STMicroelectronics", "LSM6DSO16IS Intelligent Sensor Processing Unit", "Case Western Reserve University", "CWRU"], "alternates": {"html": "https://wpnews.pro/news/bearingnas-obtaining-in-sensor-intelligent-fault-diagnosis-systems-for-bearings", "markdown": "https://wpnews.pro/news/bearingnas-obtaining-in-sensor-intelligent-fault-diagnosis-systems-for-bearings.md", "text": "https://wpnews.pro/news/bearingnas-obtaining-in-sensor-intelligent-fault-diagnosis-systems-for-bearings.txt", "jsonld": "https://wpnews.pro/news/bearingnas-obtaining-in-sensor-intelligent-fault-diagnosis-systems-for-bearings.jsonld"}}