Blade Serial Number Identification Based on Blade Tip Clearance without OPR Sensor
Shock and Vibration, 2021 Blade serial number identification is one of the key issues in blade tip-timing vibration measurement without once-per-revolution (OPR) sensor. In order to overcome the shortcomings of the existing blade serial number identification methods without OPR ...
Liang Zhang +3 more
doaj +2 more sources
Simulating eddy current sensor outputs for blade tip timing
Advances in Mechanical Engineering, 2018 Blade tip timing is a contactless method used to monitor the vibration of blades in rotating machinery. Blade vibration and clearance are important diagnostic features for condition monitoring, including the detection of blade cracks.
Nidhal Jamia +3 more
doaj +2 more sources
An Improved Blade Vibration Parameter Identification Method considering Tip Clearance Variation
Shock and Vibration, 2021 Blade tip timing (BTT) technology is the most effective means for real-time monitoring of blade vibration. Accurately extracting the time of blade tip reaching the sensors is the key to ensure the accuracy of the BTT system. The tip clearance changes due
Liang Zhang, Qidi Wang, Xin Li
doaj +2 more sources
Anisotropic Magnetoresistive Sensors: Dynamic Modeling and Characterization for Blade Tip-Timing Measurements [PDF]
SensorsMonitoring of blade vibrations in turbomachinery equipped with ferromagnetic blades is currently performed using the Blade Tip-Timing (BTT) non-contact technique.
Daniele Busti +4 more
doaj +2 more sources
Determination of Vibration Properties and Reliable Frequency Estimation for Synchronous Vibrations Through Improved Blade Tip Timing Techniques Without a Once-per-Revolution Sensor [PDF]
SensorsSynchronous vibrations, which are caused by periodic excitations, can have a severe impact on the service life of impellers. Blade Tip Timing (BTT) is a promising technique for monitoring synchronous vibrations due to its non-intrusive nature and ability
Marios Sasakaros +3 more
doaj +2 more sources
An Improved Circumferential Fourier Fit (CFF) Method for Blade Tip Timing Measurements
Applied Sciences (Switzerland), 2020 Rotating blade vibration measurements are very important for any turbomachinery research and development program. The blade tip timing (BTT) technique uses the time of arrival (ToA) of the blade tip passing the casing mounted probes to give the blade ...
Fajie Duan, Guangyue Niu, Ling Ma
exaly +3 more sources
An Optical Fiber Bundle Sensor for Tip Clearance and Tip Timing Measurements in a Turbine Rig [PDF]
Sensors, 2013 When it comes to measuring blade-tip clearance or blade-tip timing in turbines, reflective intensity-modulated optical fiber sensors overcome several traditional limitations of capacitive, inductive or discharging probe sensors.
María Asunción Illarramendi +5 more
doaj +2 more sources
A Torsional Vibration Measurement Method for Rotating Blades Based on Blade Tip Timing [PDF]
Shock and Vibration, 2021 During the working process of the turbine, some types of faults can cause changes in the vibration characteristics of the blades. The real-time vibration monitoring of the blades is of great significance to the stable operation and state-based ...
Haonan Guo +6 more
doaj +2 more sources
A Subspace Method for Modal Identification of Bladed Assemblies Using Blade Tip-Timing Data
Volume 1: Turbo Expo 2007, 2007 Unknown excitation forces are applied to bladed disk assemblies, such as turbines blades, leading to forced vibration responses. Non contact measurement of such vibrations using blade tip-timing data has become an industrial standard procedure and current research focuses on analysis methods for interpretation of measured vibrations.
Salhi, Bendali +4 more
openaire +3 more sources
High-Precision Extraction Method for Blade Tip-Timing Signal with Eddy Current Sensor
International Journal of Rotating Machinery, 2020 Online monitoring of high-speed rotating blades has always been a hot topic. Of the various methods, the blade tip timing (BTT) technique, based on eddy current sensors, is considered to be the most promising.
Ji-wang Zhang, Ke-qin Ding, Guang Chen
doaj +2 more sources