Csg Power Generation Co., Ltd.

Csg Power Generation Co., Ltd. Maintenance and Test Company

Csg Power Generation Co., Ltd. Maint. and Test Co.

Mingxuan Yang

Yu Gong

Yaxiong Yu

Xiaobo Qiu

Qing Li

Jialiang Yu

Hao Zhang

Man Chen

Xiaoyi Wang

Yumin Peng

Rufei He

Xianbin Guo

Yanming Gao

Yequan Liang

Dehua Li

Xiong Dai

Mingliang Yao

Jun She

Tao Chen

Dongyang Hu

Xiangdong Liu

Peng Ling

Chang Xiao

Liangliang Nie

Yakang Zhao

Minghao Huang

Yalin Jia

Haixia Yang

Jun Jiang

Wenhan Huang

Pengchao Qi

Xuan Xie

Hanqiu Yan

Weiwei Peng

Zhenglin Xiang

Kaiwei Xu

Jianqiu Li

Yunyun Chen

Jun Pei

Bo Wan

Yu Cui

Huan Liu

Wenxing Hu

Shusheng Luo

Zhijia Zhai

Xuan Liu

Li Ye

Zhao Wu

A method of synchronization test of a generator set outlet switch apparatus includes that: prior to a synchronization grid-connected closing of an outlet switch apparatus of a target generator set, a wiring phase sequence of a synchronization apparatus is determined to be correct; then three-phase closings of the outlet switch apparatus are determined to be synchronous; two-side voltage waveform data at a closing moment of the outlet switch apparatus is measured and recorded; and a simulated synchronization closing quality coefficient of the outlet switch apparatus of the target generator set is determined according to the two-side voltage waveform data, and a synchronization closing performance of the outlet switch apparatus of the target generator set is evaluated according to the simulated synchronization closing quality coefficient.

Generator set circuit breaker apparatus synchronization test method and apparatus, device, and medium

Provided are a determination method and apparatus of a main shaft bearing state, an electronic device, and a storage medium. The method includes the following steps: Bearing swing data of a target main shaft bearing at multiple moments within a preset time period are acquired; at least one current data period and current-period bearing swing data in each current data period are determined according to the multiple pieces of bearing swing data; a first abrupt change value and a second abrupt change value are determined according to the current-period bearing swing data in each current data period; and a main shaft bearing state of the target main shaft bearing is determined according to the first abrupt change value and the second abrupt change value.

Determination method and apparatus of main shaft bearing state, electronic device, and storage medium

A device and method for starting a pumped storage group, and a pumped storage system are disclosed. The device includes: an acquisition module configured to acquire starting data of the group in real time; a first determination module configured to determine a real-time speed versus time curve for the group based on the starting data; and a correction module configured to correct a starting speed of the group based on a deviation between a reference speed versus time curve cluster and the real-time speed versus time curve. The real-time speed of the group during starting is visualized through a curve fitting procedure to form the real-time speed versus time curve, the real-time speed versus time curve is compared with a favorable history operation curve, and the deviation between the real-time speed versus time curve and the favorable history operation curve is corrected to adjust the starting speed of the group.

Device and method for starting pumped storage group and pumped storage system

The present disclosure provides a self-adaptive test method for an intelligent prediction algorithm of analog measured values. Firstly, an event recording sequence, an analog measurement point ID and an analog measurement point alarm value are read from a time sequence event record table, an analog measurement point table and an alarm threshold table. Next, operation records of a normal operation state of a unit within a statistical cycle are acquired to form historical statistics of measured values of the analog measurement point based on switching value signals. Then, simulated measured values of the analog measurement point with time scales are calculated based on the historical statistics, the analog measurement point alarm value and an analog measurement point current measured value. Finally, sensitivity is calculated; and an alarm is sent to remind a technician to adjust the algorithm when the sensitivity is greater than a threshold.

Self-adaptive test method for intelligent prediction algorithm of analog measured values

The present disclosure provides a self-adaption faster-than-real-time method for estimating a working condition start-up state of a unit. Firstly, an event recording sequence, an analog measurement point ID, an analog measurement point first-level alarm value and a history scatter point distribution record are read from a time sequence event record table, an analog measurement point table, an alarm threshold table and a historical scatter record table. A measured value slope of the analog measurement point is calculated according to an event recording relative time. Then, an abnormal state estimated value is calculated based on the history scatter point distribution record, the analog measurement point first-level alarm value and the measured value slope of the analog measurement point. Finally, a pre-warning is sent to remind a watchman to perform a preventive operation when the abnormal state estimated value is above the threshold.

Method for self-adaption faster-than-real-time working condition start-up state prediction and estimation of unit

Growing community of inventors

Guangzhou, China

Mingxuan Yang