Tted in to the networked operation and maintenance platform by the service engineer in the enterprise. 2.2. Data Description As outlined by the functional qualities of the concrete piston, this paper research 5 situation monitoring data related to the operating state from the concrete pump truck, which includes engine speed, technique stress, pumping capacity, reversing frequency, and cumulative operating time. The specific meaning on the condition monitoring data is shown in Table 1.Table 1. Meanings of situation monitoring data of the concrete pump truck. Name Engine Speed Method Stress Pumping Capacity Reversing Frequency Cumulative Functioning Time Data Sort integral integral integral integral floating Unit RPM MPa times/minute hour Scope 0 2000 0 32 0 one hundred 0 30 Meaning The speed of pump truck engine pump hydraulic stress of pumping method The percentage of pump truck in its maximum worth Pump cylinder reversing times per minute Cumulative operating time of pump truckThe condition monitoring data from the concrete pump truck involves “equipment number”, “parameter name”, “parameter value” and “server receiving time”, totaling greater than 2.eight million pieces. The replacement facts information of your concrete piston consists of “equipment number”, “replacement timing” and “replacement date”, totaling 325 pieces. 2.three. Information Preprocessing The situation monitoring data from the concrete pump truck studied within this paper are time series information collected by sensors. As a result of variables which include the timing error of KRH-3955 site sensors or poor communication conditions, specific data are missed within the data set. For the four varieties of data, like engine speed, method stress, pumping capacity, and reversing frequency, the missing data might be quite close towards the data uploaded the prior time as a result of high information collecting frequency, so the nearest complement process is adopted to fill in missed information. The cumulative working time is accumulated information; it could be assumed that the changing on the cumulative functioning time is slow and uniform, so the linear interpolation approach is adopted to fill the missed data [25]. The original data from the engine speed within a specific period of time is shown in Figure three, and the processed information is shown in Figure 4.Appl. Sci. 2021, 11,5 ofAppl. Sci. 2021, 11, x FOR PEER Overview Appl. Sci. 2021, 11, x FOR PEER REVIEW5 of 19 5 ofFigure 3. The original data. The original information. Figure three. The original data. Figure three.Figure four. The processed data. processed information. Figure 4. The processed information. Figure four. The3. Model Constructing three. Model Building three. Model Building three.1. Model Pirepemat Autophagy Construction three.1. Model Building 3.1. Model Construction If actual working life information with the concrete piston is identified, the proper probability If actual functioning life data in the concrete piston is recognized, the appropriate probabilIf actual operating life data on the concrete piston is identified, the proper probabilstatistical distribution model might be selected to match the data, plus the characteristic distriity statistical distributionobtained, which can beto match the estimate the typical usefuldisity statistical distribution model can be chosen to match the information, and the characteristic disbution with the life is often model might be selected applied to data, as well as the characteristic life. tribution of operation ofbeobtained, which is often employed to state with the concrete pump truck tribution in the life can the concrete piston, the operating estimate the average valuable life. For the duration of the the life might be obtained, which.
