# DML–LLM Hybrid Architecture for Fault Detection and Diagnosis in Sensor-Rich Industrial Systems

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/dml-llm-hybrid-architecture-for-fault-detection-and-diagnosis-in-sensor-rich/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Yu-Shu Hu,Saman Marandi,Mohammad Modarres |
| Citations | 1 |
| DOI | 10.3390/s26062008 |
| Fields | Computer Science,Engineering |
| Open Access | true |
| OA Status | gold |
| OA URL | https://doi.org/10.3390/s26062008 |
| OpenAlex ID | https://openalex.org/W7140106622 |
| PMID | 41902177 |
| Type | article |
| Year | 2026 |

## Paper authors

- [Yu-Shu Hu](https://scholariq.org/researchers/yu-shu-hu/)
- [Saman Marandi](https://scholariq.org/researchers/saman-marandi/)
- [Mohammad Modarres](https://scholariq.org/researchers/mohammad-modarres/)

## Paper journal

- [Sensors](https://scholariq.org/journals/sensors/)

## Paper primary topic

- [Anomaly Detection Techniques and Applications](https://scholariq.org/topics/anomaly-detection-techniques-and-applications/)

## Paper topics

- [Anomaly Detection Techniques and Applications](https://scholariq.org/topics/anomaly-detection-techniques-and-applications/)
- [Fault Detection and Control Systems](https://scholariq.org/topics/fault-detection-and-control-systems/)
- [Data Stream Mining Techniques](https://scholariq.org/topics/data-stream-mining-techniques/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.