As an important tool for modern steam turbine equipment condition monitoring, the four-channel vibration monitor CZJ-4D provides precise technical support for the identification of turbine rotor dynamic balance problems with its multi-channel vibration vector and analysis capabilities. During the operation of rotating machinery, vibration signals are the core indicators reflecting the health status of the equipment, and rotor dynamic balance problems, as one of the main causes of abnormal vibration, often lead to equipment performance degradation, increased energy consumption, and even serious failures. Vibration detector CZJ-4D can efficiently capture vibration characteristics through its four-channel synchronous acquisition and vector synthesis analysis technology, providing a reliable basis for the diagnosis and correction of dynamic balance problems.

The dynamic balance problem of the turbine rotor is usually manifested as a significant increase in the rotation frequency component in the vibration spectrum. When the rotor mass is unevenly distributed, the centrifugal force will produce periodic disturbances during the rotation process, resulting in the vibration signal being dominated by the rotation frequency (i.e. the operating frequency of the equipment). Vibration detector CZJ-4D simultaneously collects vibration data of the turbine bearing seat in the vertical, horizontal and axial directions through four-way magnetoelectric speed sensors, which can fully cover the multi-dimensional information of the rotor motion trajectory. This multi-channel data acquisition method not only avoids the vibration characteristics that may be missed by single-channel measurement, but also lays the foundation for subsequent vector synthesis analysis.

In the process of processing vibration signals, the core advantage of the vibration detector CZJ-4D lies in its multi-channel vibration vector and analysis capabilities. By vector superposition of the vibration signals collected by four sensors, the system can intuitively present the overall trend of rotor vibration. For example, under normal operating conditions, the vibration trajectory of the turbine rotor is usually elliptical, and the vibration amplitude in the horizontal direction is slightly higher than that in the vertical direction. If the vector and analysis results show that the vibration amplitude in a certain direction deviates significantly from the normal range, or the vibration phase changes abnormally, it may indicate that the rotor has a dynamic balance problem. This comprehensive judgment method based on multi-channel data has higher sensitivity and accuracy than the local analysis of a single channel.

In addition, the vector and analysis of the vibration detector CZJ-4D can also reveal the phase characteristics of the vibration signal. The vibration caused by the dynamic balance problem usually has a stable phase relationship, that is, the vibration phase difference of the bearings at the input and output ends of the rotor is basically the same. The vibration detector CZJ-4D can quickly identify whether there is an unbalanced fault by comparing the phase difference of multi-channel vibration signals. For example, when the phase difference between the horizontal and vertical directions exceeds the reasonable range, it may indicate that the unbalanced state of the rotor is not caused by the uneven mass distribution of a single plane, but involves more complex dynamic characteristics. At this time, the system can locate the specific root cause of the problem through further spectrum analysis and vector decomposition.

In practical applications, the multi-channel vibration vector and analysis technology of the vibration detector CZJ-4D has been widely verified. Taking the fault diagnosis of a steam turbine unit in a power plant as an example, the equipment suddenly experienced abnormal vibration during operation. The traditional single-channel monitor only showed a slight increase in the vertical vibration amplitude, and it was difficult to determine the specific cause. Through the four-channel synchronous monitoring of CZJ-4D, the system captured a significant increase in the horizontal vibration amplitude, and the rotation frequency component accounted for more than 80% of the through-frequency vibration. Further vector and analysis showed that the vibration trajectory changed from an ellipse to a nearly circular shape, indicating that there was a significant deviation in the centrifugal force distribution of the rotor. Combined with the phase detection results, the technicians confirmed that the rotor had a dynamic balance problem and effectively eliminated the abnormal vibration through two-plane balance correction.

The technical advantage of the vibration detector CZJ-4D is also reflected in its adaptability to complex working conditions. During the operation of the turbine, the vibration signal may be affected by multiple factors such as bearing stiffness, lubrication status, external load, etc., and the vibration data of a single channel is easily masked by interference signals. The four-channel vector sum analysis can effectively suppress the interference of environmental noise and unbalanced faults through cross-validation of multi-dimensional data. For example, when the system detects abnormal high-frequency components in the vibration spectrum, it can judge whether it is caused by resonance or other mechanical defects by comparing the vector sum trends of each channel, thereby avoiding misdiagnosis. This comprehensive analysis capability enables CZJ-4D to show excellent reliability in complex industrial scenarios.

It is worth noting that the multi-channel vibration vector sum analysis of the vibration detector CZJ-4D does not exist in isolation, but is closely integrated with the long-term monitoring and data accumulation of the equipment. By continuously recording vibration data, the system can establish a vibration baseline curve for the equipment and compare the current status with historical data in real time. When the vector sum trend deviates, the system can combine the spectrum characteristics and phase changes to predict potential dynamic balance problems and issue early warnings. This preventive maintenance strategy significantly reduces the risk of sudden equipment failure and extends the service life of the turbine.

When looking for high-quality, reliable vibration monitors, YOYIK is undoubtedly a choice worth considering. The company specializes in providing a variety of power equipment including steam turbine accessories, and has won wide acclaim for its high-quality products and services. For more information or inquiries, please contact the customer service below:
E-mail: sales@yoyik.com
Tel: +86-838-2226655
Whatsapp: +86-13618105229

Yoyik offers various types of spare parts for steam turbines, generators, boilers in power plants:
bolts heater 1.2311(4)-φ21X800
type k thermocouple max temperature WRNK2-231
LVDT Sensor 4000TDGN-100-01-01
speed sensor CS-3-M10-L60
Monolithic pilot light XB2BVQ4LC
Axial Displacement Sensor WT0112-A90-B00-C01
Switch Disconnectors OT125FT3
Eddy Current Sensor PR6423/000-121
Hydrogen leakage detection device probe LH1500-B
SENSOR SPEED (RPM) FOR TURBINE CS-2
pt100 temp range WZPK2-336
Vibration Speed Transducers for Turbine and Pumps VS-2X
ACTUATORMOTORIZED 2SA7021-5EE20-4BA4-Z
Signal conditioning module switch quantity HSDS-30/FD
Water temperature sensor 32302002001
Jingjiang juli valve 150
Flow Switch LKB-01B
sensor pr6423/015-140 + con021
ZIRCONIA OXYGEN-ANALYZER PROBE ISG-C
Rotational speed meter HZQW-03A
INTEGRATED VIBRATION SENSOR SZ6
Preamplifier 330106-05-30-10-02-00
Axial Displacement Sensor WT0112-A50-B00-C01
analog pressure sensor CS-III
Pressure Switch RC0450CZ090Z
Power Supply XGP-ACF1
SENSOR LVDT DFA-LVDT-200-6
Temperature Controller XMTG-7012
Dual vibration motinotor HY-3V
Actuator AOX-080
WEIGHING SENSOR GD2151107
speed sensor CS-075-3900/13
Presure Transmitter for kiln thrust PN35-P250M20H3AQ