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COAL MILL PINION MAIN REDUCER GEARBOX BEARING DAMAGE DETECTION USING CO- ORDINATED CONDITION MONITORING AT DTPS

机译:煤矿齿轮和主要减速机齿轮箱轴承损坏检测DTPS的协调状态监测

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This paper shares a success story out of the Implementation of co-ordinated Condition Monitoring techniques at DTPS, wherein imminent Pinion & Main Reducer Gearbox bearings damage of HT auxiliary Coal Mill - 1CD was diagnosed. On 08.12.2011 Offline Pinion DE & NDE axial vibration reading deviated from 5.5 to 6.0 and 8.5 to 9.5 mm/sec (RMS) respectively At same time Online vibration of Pinion NDE axial started fluctuating to alarm level i.e. 11.2 mm/sec and alarm appeared in SOE of PCR - 01 Similarly Acceleration value of Main Reducer Input & Intermediate bearing deviated from 2.5 to 3.5g and 2.0 to 2.4g (Peak) respectively Also Noise level increased from 98.3 to 99.8 dB and Ultrasonic monitoring level from 7 to 9 LEDs of Main Reducer Gearbox Temperature compared with other running mill & found that there was rise in 9°C (approx.) of Coal Mill 1CD Main Reducer. In view of Steep increasing trend of all parameters, it was decided to stop Coal Mill for replacement of Pinion bearings & Main Reducer Gearbox jointly. During maintenance pinion bearing clearances observed on higher side. Main Reducer Input & Intermediate bearings rollers found damaged. Thorough Inspection of Main Reducer GB was carried out in presence of OEM expert. The condition of all gear teethes & shaft found OK. Vibration Analysis, Noise & Ultrasonic Monitoring helped in diagnosing the exact root cause of abnormity in advance thus avoided the catastrophic failure which could have caused total cost of £ 122,614.
机译:本文出于DTPS实施协调条件监测技术的成功故事,其中迫在眉睫的小齿轮和主减速器齿轮箱轴承损坏HT辅助煤磨机 - 1CD被诊断出来。 08.12.2011离线小齿轮DE&NDE轴向振动读数分别与5.5至6.0和8.5至9.5毫米/秒(rms)同时小齿轮NDE轴向启动到报警级别,即11.2 mm / sec和警报出现在PCR - 01的SOE中,主要减速器输入和中间轴承的加速度偏离2.5至3.5g,2.0至2.4g(峰值)分别噪声水平从98.3增加到99.8 dB和超声波监测水平从7到9个LED增加主要减速机齿轮箱温度与其他运行厂相比,发现9°C(约)煤磨机1CD主减速剂上升。鉴于所有参数的陡峭趋势,决定停止煤磨机以便联合更换小齿轮轴承和主减速机齿轮箱。在维护齿轮轴承间隙期间在较高侧观察到。主减速机输入和中间轴承滚筒被发现受损。彻底检查主要减速机GB在OEM专家的存在下进行。所有齿轮齿和轴的状况都发现了好的。振动分析,噪声和超声波监测有助于诊断预先诊断异常的确切根本原因,从而避免了可能导致122,614英镑的总成本的灾难性故障。

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