Designs the gas blower vibration condition detection project. Introduces the trend prediction principles of neural network and selective the neural network 4-4-1 topology structure and training it with improved conjugate gradient algorithm,erects a model for vibration trend prediction,and applied it on gas blower.
The results showed that trend prediction scores of temperature and precipitation were high. More than 87% scores of monthly air temperature anomaly prediction were greater than 66,so did the monthly average Ps scores.
The analys is on the application of T213 numerical forecast products indicated that T213's trend forecast product had a good relationship with the rainfall taken place in Ningxia, and its physical field had a good indication to the development of the severe convection weather in Ningxia.
In order to forecast the trend of cutting vibration accurately,based on the theories and methods of cutting vibration trend forecast,developed the forecast software of cutting vibration trend forecast based on the Hidden Markov Models.
The analyzing on the application of T213 numerical forecast products indicates that T213’s trend forecast product has a good relationship with the rainfall taken place in Ningxia, and its physical field has a good indication to the development of the severe convection weather in Ningxia.
After having studied the relationship of time and space of the seismicity of M,≥7. 0 in the three "earthquake entrance windows" in the adjacent area of Mainland China and of the seismicity of some M, ≥6.0 earthquakes in the inland area, we have discussed how to use this relationship to predict the time and space of M,≥ 6. 0 earthquakes in Mainland China so as to provide a useful reference for the tendency prediction of large seismic situation.
Through some examples, it is considered that the "dynamic stress ellipse" method can be applied to tendency prediction and it can provide a useful basis for semi-experience and semi-quantitative long-term, mid-term and short-term estimation of future strong seismic activity regions.
On the basis of studying of regularity of changes of Dalian winter coastal surface layer water temperature itself and its relations with the EI nino phenomenon by means of the spectral analysis, the authors put forward an EI nino index curve integration method, and by using it they made a tendency prediction on Dalian winter coastal surface layer water temperature.
This system introduces the approach of statistical process control(SPC) , which brings about the real time monitoring, trend forecasting and fault cause analyzing,shortens the time of response to fault and builds up the scientific quality control system.
It applies to the approach of statistical process control(SPC), which brings about the real-time monitoring, trend forecasting and statistical analyzing, realizes the product quality control from simple measurement to manufacturing process and builds up the level of quality management.
Study on trend prediction and variation on the flow into the longyangxia reservoir
Therefore, the study on trend prediction, variation on the flow into the Longyangxia Reservoir are of the great social and economic benefits.
This character can be the reference to the migration law summarization and trend prediction.
We ascribe the long-range power-law scaling of acid deposition evolutions to the self-organized critical behavior of atmosphere under pollution stress and it should be considered in the trend prediction of acid deposition as an important factor.
From a trend prediction analysis we conclude that in order to detect a 1% per year trend in a decade or less it will be necessary to decrease the time between observations from its present value of 3-7 days to 1 day or less.