苏祖强
-
副教授
博士生导师
硕士生导师
- 性别：男
- 毕业院校：重庆大学
- 学历：博士研究生毕业
- 学位：工学博士
- 在职信息：在岗
- 所在单位：计算机学院
- 办公地点：信息科技大厦1906实验室
- 联系电话：13883151850
- 电子邮箱：b00015ea752f1d01233b3778962e0765e85838832a4cb0387ab543802c4ee4a7fccc8333d62cfe660f1d97053f5a9bbf3a3eec0754558cdfb8390a540a51d6dc61e6d3a66d05535c04c583c6a8e083e19d9e6be1bdaee5568ec51d99c1f4dbbfdf595394e27b440685cba07659300225a5a27b5300c692ae8265ffac88bff2d3
访问量：
-
[11] RUL Prediction of Wind Turbine Gearbox Bearings Based on Self-Calibration Temporal Convolutional Network.IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT,
-
[12] Semisupervised Momentum Prototype Network for Gearbox Fault Diagnosis Under Limited Labeled Samples.IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS,
-
[13] Cross-Domain Open-Set Fault Diagnosis Based on Target Domain Slanted Adversarial Network for Rotating Machinery.IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT,
-
[14] Adaptive Gated Attention Network With Weighted Metric Enhancement for Fault Diagnosis of Wind Turbine Gearbox.IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT,
-
[15] The Semisupervised Weighted Centroid Prototype Network for Fault Diagnosis of Wind Turbine Gearbox.IEEE-ASME TRANSACTIONS ON MECHATRONICS,
-
[16] Evidential Deep Learning-Based Adversarial Network for Universal Cross-Domain Fault Diagnosis of Rotary Machinery.IEEE SENSORS JOURNAL,
-
[17] Multi-adversarial deep transfer network for multi-source open-set fault diagnosis of rotating machinery with category shift.KNOWLEDGE-BASED SYSTEMS,2023
-
[18] 苏祖强，萧红,张毅,汤宝平(外),蒋永华(外).Machinery running state identification based on discriminant semi-supervised local tangent space alignment for feature fusion and extraction.MEASUREMENT SCIENSE AND TECHNOLOGY,2017,28
