Abstract
This review is dedicated to balancing methods that are used to solve the rotor-balancing problem. To ensure a stable operation over an operating speed range, it is necessary to balance a rotor. The traditional methods, including the influence coefficient method (ICM) and the modal balancing method (MBM) are introduced, and the research progress, operation steps, advantages and disadvantages of these methods are elaborated. The classification of new balancing methods is reviewed. Readers are expected to obtain an overview of the research progress of existing balancing methods and the directions for future studies.
Highlights
Rotor unbalance is one of the main reasons for the vibration of rotating machinery [1]
The influence coefficient matrix and the correction weights can be identified by measuring the initial vibration of the different balancing planes and the vibration after installing the trial weights
Scholars have improved the classical methods and proposed many new balancing methods from different angles, including the nonlinear rotor-balancing methods, transient rotor balancing methods, balancing methods based on homologous information fusion technology, balancing methods for specific rotors, and so on
Summary
Rotor unbalance is one of the main reasons for the vibration of rotating machinery [1]. The influence coefficient matrix and the correction weights can be identified by measuring the initial vibration of the different balancing planes and the vibration after installing the trial weights This treatment, called the ICM, was initially used to balance a rigid rotor. Tessarzik [11] investigated four distinct practical aspects of the flexible rotor balancing: (1) the balance of rotors operating through multiple bending critical speeds; (2) the balance of rotors supported by both rigid and flexible bearings, where the latter had significantly different stiffness in the horizontal and vertical directions causing severe ellipticity in vibration orbits; (3) the balance of rotors with various amounts of measured vibration response information (e.g., numbers of vibration data sets and numbers and types of vibration sensors) and with different numbers of correction planes; (4) the balance of rotors with different (though arbitrary) initial unbalanced configurations. Due to nonlinearity, the stiffness and damping could not be estimated accurately, and the results had inevitable errors
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