3 results about "Long term trend" patented technology

The invention provides a power frequency current long and short term trend filtering method and device and processing equipment, and constructs a filter design comprising a long term trend module for long term control of accumulated residual errors and a short term trend module for short term estimation of linearization trend. A set of specific double-closed-loop control structure is built on the aspect of a long and short term trend framework, and further matching is performed from the aspect of a quantization formula, so that the limitation in the prior art can be effectively overcome, the current transient analysis in a complex scene can be completed with high precision, and the current transient analysis accuracy is improved. The method is suitable for real current observation of a power supply and transient analysis of power frequency current in specific application.

This invention relates to the field of intelligent bearing monitoring technology, and discloses a method, device, equipment, and storage medium for detecting bearing wear status. The method provided by this invention separates and extracts long-term trend components and short-term fluctuation components over a time scale, quantifying the remaining lubricant thickness and interface stress fluctuations respectively, thus decoupling wear accumulation from transient friction behavior. Further statistical analysis of short-term variance and pulse count rate reflects the uniformity of stress distribution and the frequency of direct metal-to-metal contact. Normalized variance is used to eliminate the influence of operating conditions such as load and speed on luminescence intensity, avoiding misjudgments caused by changes in operating conditions. Finally, by combining the above parameters and using a wear stage discrimination model, the wear stage discrimination result of the target bearing at the current moment can be accurately identified. This not only achieves non-invasive online monitoring of bearing wear status in sealed, confined spaces, but also accurately identifies the bearing wear status using changes in light intensity in the original triboluminescence signal of the target bearing.

The invention provides a rapid zero returning prediction method for the concentration of a gas sensor. The rapid zero returning prediction method comprises the following steps: S1, short-term trend calculation; s2, calculating and predicting a long-term trend; s3, displaying a concentration decision; and S4, buffer area management. According to the method, a prediction mechanism is introduced, the coefficients K1, B1, K2 and B2 reflecting the concentration change trend are obtained in real time by establishing the least square buffer areas of different time windows, the concentration in the next 20s is accurately predicted based on a historical data fitting curve, a scientific prediction basis is provided for dynamically adjusting and displaying the concentration, the real-time performance of display is ensured, and the real-time performance of the display is improved. The problem that the recovery speed of the sensor is low when the sensor recovers to clean atmosphere from high-concentration gas is effectively solved, rapid return-to-zero display of the concentration is achieved by means of prediction, and the requirement of a user for rapid feedback is met; interference of historical data on prediction under the new trend is avoided, the accuracy of concentration prediction is further improved, and it is ensured that the prediction result can truly reflect the concentration change trend in the decline stage.