Article
Engineering, Mechanical
Zhicheng Xiao, Yiming Meng, Hua Ouyang
Summary: Novel methods have been proposed to enhance the capabilities of a blade tip timing system by simultaneously measuring blade tip clearance and blade tip velocity. These methods utilize convex lenses to adjust the optical path and introduce new protocols and algorithms for data processing, enabling accurate measurements of clearance and velocity under various operating conditions.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2022)
Article
Engineering, Mechanical
Dusan Maturkanic, Pavel Prochazka, Jan Kozanek, Mohammed Lamine Mekhalfia
Summary: This paper describes ongoing work on a complex system for measuring and calculating turbine blade vibrations. The system uses a precise separation approach to calculate pure blade vibration. The paper introduces the method of calculating pure blade vibration based on an analytical approach and analyzes its reliability and expected accuracy.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2023)
Article
Engineering, Mechanical
Eder Batista Tchawou Tchuisseu, Pavel Prochazka, Dusan Maturkanic, Pete Russhard, Marek Brabec
Summary: Blade monitoring in bladed disk assembly involves analyzing blade dynamics to prevent fatigue and cracks caused by synchronous and asynchronous vibrations. Using the BTT system for vibration measurements, a simple method is proposed to determine optimal probe positioning for extracting useful information from the blade's vibration signal.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2022)
Article
Engineering, Mechanical
Le Zhang, Jiadan Wei
Summary: This paper presents a method using millimeter-wave radar sensor for measuring windturbine blade clearance and proposes a control method to increase the blade clearance distance for safety.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2021)
Article
Engineering, Multidisciplinary
Suiyu Chen, Yongmin Yang, Haifeng Hu, Fengjiao Guan, Guoji Shen, Zifang Bian, Haonan Guo
Summary: The study introduces a novel interpolation method for wideband signal reconstruction (IWSR) to address issues in blade tip timing (BTT) technique for online damage diagnosis. Simulations and experimental results confirm the effectiveness of IWSR in signal reconstruction, noise suppression, and frequency identification.
Article
Engineering, Electrical & Electronic
Shuming Wu, Zengkun Wang, Haoqi Li, Zhibo Yang, Shaohua Tian, Ruqiang Yan, Shibin Wang, Xuefeng Chen
Summary: Cracks are one of the most fatal faults of rotating blades, and the blade tip timing technique can be used to detect cracks early and ensure the safe operation of gas turbines. This article proposes a method of crack detection using BTT data, which can effectively diagnose cracks by studying parameters such as blade frequency, amplitude, and interblade distance.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2021)
Article
Engineering, Mechanical
Xulong Zhang, Weimin Wang, Kang Chen, Weibo Li, Dengpeng Zhang, Linlin Tian
Summary: This paper discusses the application of Blade Tip Timing (BTT) technology in measuring blade vibrations, and proposes a method for measuring the five-dimensional blade tip movements. By tracking the actual measuring point position through BTT data, this method can accurately measure the blade's axial, lean, bend, untwist, and sweep movements, with simulation results confirming its effectiveness and accuracy.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2021)
Article
Chemistry, Multidisciplinary
Liang Zhang, Qidi Wang, Xin Li
Summary: Blade tip-timing (BTT) is a widely used non-contact measurement method for rotating blade vibration. This paper proposes a blade vibration parameter identification method based on the mapping matching between the static waveform of the sensor and the dynamic waveform of the blade tip-timing. By analyzing the modulation effects of different vibration displacements, velocities, and amplitudes on the sensor waveform, the vibration displacement and velocity of the blade passing through the sensor can be obtained, and then the vibration parameters of the blade can be identified. Compared with the under-sampled time of arrival (TOA) data of classic BTT applications, the sensor waveform output modulated by blade vibration can provide additional data, and the waveform mapping method can not only reduce the number of sensors but also improve the identification accuracy of blade vibration parameters.
APPLIED SCIENCES-BASEL
(2023)
Article
Engineering, Mechanical
Jia-Hui Cao, Zhi-Bo Yang, Hao-Qi Li, Guang-Rong Teng, Shao-Hua Tian, Wen-Bo Li, Xue-Feng Chen
Summary: This study proposes a method for frequency identification of rotating blades using a single blade tip timing (BTT) probe. By obtaining a Sampling-Aliasing Frequency (SAFE) map and identifying resonance centers, the natural frequency of the blades can be accurately extracted from a single BTT measurement.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2022)
Article
Engineering, Mechanical
Jiahui Cao, Zhibo Yang, Ruobin Sun, Guangrong Teng, Xuefeng Chen
Summary: Condition monitoring is vital for a rotating blade working in harsh conditions. Blade tip timing (BTT) is a potential technique for health monitoring owing to its non-contact and efficient nature. However, the challenges of severe undersampling and difficult probe/sensor installation hinder its application. This paper proposes a single probe OPR-free BTT method based on parameters identification for synchronous and asynchronous vibrations, which significantly improves the practicality of BTT measurement by reducing installation and hardware costs.
INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES
(2023)
Article
Chemistry, Multidisciplinary
Guangya Zhu, Chongyu Wang, Wei Zhao, Yonghui Xie, Ding Guo, Di Zhang
Summary: This study proposes a crack fault diagnostic method based on blade tip timing measurement data and convolutional neural networks (CNNs) for the crack fault detection of blades. The results show that the method outperforms many other traditional machine learning models in diagnosing the depth and location of blade cracks.
APPLIED SCIENCES-BASEL
(2023)
Article
Engineering, Electrical & Electronic
Zhenfang Fan, Hongkun Li, Jiannan Dong, Xinwei Zhao, Hongwei Cao
Summary: This paper introduces the importance of Blade Tip Timing (BIT) technology in estimating blade vibration and diagnosing faults, proposes the SSLF method to overcome the limitations of the OPR method, and verifies the effectiveness of the SSLF method through theoretical analysis and experimental investigations.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2021)
Article
Chemistry, Analytical
Zhonghan Liang, Yuxiang Zhang, Lin Yue
Summary: This study combines the non-contact optical techniques of digital image correlation (DIC) and blade tip-timing (BTT) to achieve a method of investigation for a rotating blade vibration measurement. Results show that this method is an effective non-contact, high-precision full-field deformation measurement method that is worth exploring for structural design and dynamic strain assessment of vibrating components.
Article
Acoustics
Zeng-Kun Wang, Zhi-Bo Yang, Hao-Qi Li, Shu-Ming Wu, Shao-Hua Tian, Xue-Feng Chen
Summary: Blade tip timing (BTT) is a crucial non-contact monitoring method for estimating blade vibration, involving acquiring original pulse signals through optical probes and converting them to deflection using a high-precision counter. Sparse representation has shown promise for reconstructing blade vibration features, but its performance in BTT is limited by the simple assumption of Gaussian noise. A robust sparse representation model based on a mixture of Gaussians (MoG) is proposed to address this issue and represent unknown noise in BTT.
JOURNAL OF SOUND AND VIBRATION
(2021)
Article
Engineering, Mechanical
Zhibo Liu, Fajie Duan, Guangyue Niu, Dechao Ye, Junnan Feng, Zhonghai Cheng, Xiao Fu, Jiajia Jiang, Jing Zhu, Meiru Liu
Summary: The paper introduces reconstruction conditions based on the MUSIC algorithm, which successfully overcomes spectrum aliasing, reduces computational complexity, and improves frequency identification accuracy. Furthermore, an amplitude identification method using DFT and remainder theorem is proposed to address the issue of extracting amplitude directly, with its feasibility verified through simulations and experiments.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2022)