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Research and experimental validation of condition monitoring method for dry gas seal based on vibration acceleration signals
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Kaiyuan WANG1, Guojuan CAI2, Hao XIN1, Yifan YIN1, Qingfeng WANG1, Yue MA3
Fluid Machinery | 2026, 54(3) : 91 - 98
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Fluid Machinery | 2026, 54(3): 91-98
Research and experimental validation of condition monitoring method for dry gas seal based on vibration acceleration signals
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Kaiyuan WANG1, Guojuan CAI2, Hao XIN1, Yifan YIN1, Qingfeng WANG1, Yue MA3
Affiliations
  • 1School of Mechatronic Engineering,Beijing University of Chemical Technology,Beijing 100029,China
  • 2Sinopec (Tianjin) Petrochemical Co.,Ltd.,Tianjin 300271,China
  • 3Offshore Oil Production Plant,Shengli Oilfield Branch,China Petroleum & Chemical Corporation,Dongying 257237,China
Published: 2026-03-30 doi: 10.3969/j.issn.1005-0329.2026.03.011
Outline
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In response to challenges in monitoring the full‑life degradation state of dry gas seals and insufficient research on vibration signals,a condition monitoring method for dry gas seals based on vibration acceleration signals is proposed.Through dynamic analysis and COMSOL simulation,the mechanism of sealing performance degradation caused by the reduction in dynamic pressure groove depth is revealed.A dry gas seal test rig is built to collect vibration acceleration data under different rotational speeds (1 000~2 500 r/min),pressures (0.15~0.25 MPa),and groove depths (8,6,4,2 μm),simulating the full‑life degradation process.A condition monitoring model based on support vector data description (SVDD) is established.This model trains hypersphere parameters using healthy data to enable online detection of degraded data.The results show that the root mean square (RMS) value of axial vibration acceleration at a groove depth of 2 μm increases significantly compared to that at 8 μm.Within a certain parameter range,the RMS value of axial vibration acceleration is positively correlated with rotational speed and negatively correlated with pressure and groove depth.The SVDD model can identify degradation trends at an early stage (groove depth of 6 μm),enabling failure warning.This study provides technical support for the intelligent monitoring and health management of dry gas seals.

dry gas seal  /  axial vibration acceleration  /  condition monitoring  /  support vector data description (SVDD)
王凯源, 蔡国娟, 辛昊, 尹一凡, 王庆锋, 马越. 基于振动加速度信号的干气密封状态监测方法研究与试验验证. 流体机械, 2026 , 54 (3) : 91 -98 . DOI: 10.3969/j.issn.1005-0329.2026.03.011
Kaiyuan WANG, Guojuan CAI, Hao XIN, Yifan YIN, Qingfeng WANG, Yue MA. Research and experimental validation of condition monitoring method for dry gas seal based on vibration acceleration signals[J]. Fluid Machinery, 2026 , 54 (3) : 91 -98 . DOI: 10.3969/j.issn.1005-0329.2026.03.011
Year 2026 volume 54 Issue 3
59
22
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Article Info
doi: 10.3969/j.issn.1005-0329.2026.03.011
  • Receive Date:2025-05-02
  • Online Date:2026-10-22
  • Published:2026-03-30
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  • Received:2025-05-02
  • Revised:2025-11-26
Affiliations
    1School of Mechatronic Engineering,Beijing University of Chemical Technology,Beijing 100029,China
    2Sinopec (Tianjin) Petrochemical Co.,Ltd.,Tianjin 300271,China
    3Offshore Oil Production Plant,Shengli Oilfield Branch,China Petroleum & Chemical Corporation,Dongying 257237,China
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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