记录负荷和相应压应变 Record loads and corresponding compressive strain at appropriate intervals of strain or
研究负荷记录混沌的成因，对于提高短期负荷预报的准确率是必要的。
Seeking the causes of the chaos of load records is important to im prove the accuracy of short- term load forecasting.
综合负荷模型中的非线性因素，对于负荷记录中连续功率谱的出现会有一定的贡献。
The nonlinear characteristics of synthetic static load models can contribute to the continuous power spectra of the load records.
日志记录/跟踪太多或对日志消息的过滤太少，这常会带来超负荷的日志信息。
Too much log/trace or too little filtering of log messages causes information overload in the logs.
应用推荐