method for frueherkennung faulty betriebszustaende to rotating machines

• 1. 基于深度学习的旋转机械故障诊断与状态监测系统及方法 [P] . 中国专利： CN108681747B . 2021.05.04
• 2. 基于深度学习的旋转机械故障诊断与状态监测系统及方法 [P] . 中国专利： CN108681747A . 2018-10-19
• 3. Systems and methods for detection and analysis of faulty components in a rotating pulley system [P] . US11016003B2 . 2021-05-25

  机译： 用于检测和分析旋转皮带轮系统中的故障部件的系统和方法

• 4. SYSTEMS AND METHODS FOR DETECTION AND ANALYSIS OF FAULTY COMPONENTS IN A ROTATING PULLEY SYSTEM [P] . US2021247269A1 . 2021-08-12

  机译： 用于检测和分析旋转皮带轮系统中的故障部件的系统和方法

• 5. SYSTEMS AND METHODS FOR DETECTION AND ANALYSIS OF FAULTY COMPONENTS IN A ROTATING PULLEY SYSTEM [P] . 美国专利： US2019064032A1 . 2019-02-28

  机译： 旋转皮带轮系统中故障组件的检测和分析系统和方法

• 1. Machine　Learning　Method　Applied　to　Acquire　Knowledge　of　a　Fault　Diagnostic　Expert　System　of　Rotating　Machineries [J] . 刘占生, 张嘉钟, 武新华, 哈尔滨工业大学学报：英文版 . 1996,第001期
• 2. FRA Indicator Limit for Faulty Winding Assessment in Rotating Machine [C] . Mohd Fairouz Mohd Yousof, Ahmed Allawy Alawady, Salem Mgammal Al-Ameri, International Conference on the Properties and Applications of Dielectric Materials . 2021
• 3. Development of Global and Local Cooling Methods for Rotating Electrical Machine [D] . Kabir, Rifat. 2021
• 4. DCNN for condition monitoring and fault detection in rotating machines and its contribution to the understanding of machine nature [O] . Ana González-Muñiz, Ignacio Díaz, Abel A. Cuadrado 2020
• 5. Methods, Limitations and Applications of Reversible Phase Demodulation Based Order-Tracking of Rotating Machines [O] . Coats Michael Mechanical Manufacturing Engineering Faculty of Engineering UNSW 2015

• 1. Development of a Method for Optimizing Rotating Machines Vibrations Limits [J] . BENDJAIMA ,Belkacem . 材料科学与工程：中英文B版 . 2016,第001期
• 2. Trend Prediction Method Based on the Largest Lyapunov Exponent for Large Rotating Machine Equipments [J] . 徐小力 ,朱春梅 ,张建民 . 北京理工大学学报：英文版 . 2009,第4期
• 3. Active Vibration Control of Rotating Machines with Active Machine Foot Mounts on Soft Foundations Based on a 3D-Model [J] . Ulrich Werner . 应用数学与应用物理（英文） . 2021,第1期
• 4. Support vector machine based on chaos particle swarm optimization for fault diagnosis of rotating machine [J] . TANG Xian-lun ,ZHUANG Ling ,QIU Guo-qing . 重庆邮电大学学报（自然科学版） . 2009,第002期
• 5. 旋转机械故障检测方法与实例 [C] . 何仑 . 设备诊断技术研讨会 . 1991
• 6. 旋转机械故障早期识别方法研究与应用 [A] . 练晓婷 . 2013