# Sho Okazaki

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/sho-okazaki/

## Facts

| Field | Value |
| --- | --- |
| Citations | 6 |
| Field | Digital Transformation in Industry |
| h-index | 2 |
| i10-index | 0 |
| Last Known Institution | The University of Tokyo |
| OpenAlex ID | https://openalex.org/A5101229989 |
| Works | 4 |

## Researcher papers

- [A Framework to Support Failure Cause Identification in Manufacturing Systems through Generalization of Past FMEAs](https://scholariq.org/papers/a-framework-to-support-failure-cause-identification-in-manufacturing-systems/)
- [Description Method and Failure Ontology for Utilizing Maintenance Logs with FMEA in Failure Cause Inference of Manufacturing Systems](https://scholariq.org/papers/description-method-and-failure-ontology-for-utilizing-maintenance-logs-with-fmea/)
- [A spatio-temporal anomaly detection system to support understanding of abnormal phenomena in automated manufacturing lines](https://scholariq.org/papers/a-spatio-temporal-anomaly-detection-system-to-support-understanding-of-abnormal/)
- [Fault Cause Identification across Manufacturing Lines through Ontology-Guided and Process-Aware FMEA Graph Learning with LLMs](https://scholariq.org/papers/fault-cause-identification-across-manufacturing-lines-through-ontology-guided/)

## Researcher topics

- [Digital Transformation in Industry](https://scholariq.org/topics/digital-transformation-in-industry/)
- [Fault Detection and Control Systems](https://scholariq.org/topics/fault-detection-and-control-systems/)
- [Manufacturing Process and Optimization](https://scholariq.org/topics/manufacturing-process-and-optimization/)
- [Machine Fault Diagnosis Techniques](https://scholariq.org/topics/machine-fault-diagnosis-techniques/)
- [Anomaly Detection Techniques and Applications](https://scholariq.org/topics/anomaly-detection-techniques-and-applications/)

## Researcher university

- [The University of Tokyo](https://scholariq.org/institutions/the-university-of-tokyo/)

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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.