arrow_back_ios

Main Menu

See All Simulação e Análise See All DAQ See All Drivers API See All Utilitário See All Controle de vibração See All Calibração See All DAQ See All Portátil See All Industrial See All Analisadores de potência See All Condicionadores de sinal See All Acústica See All Tensão e Corrente See All Deslocamento See All Força See All Células de carga See All Multicomponente See All Pressão See All Deformação See All Strain Gauges See All Temperatura See All Inclinação See All Torque See All Vibração See All Acessórios See All Controladores See All Excitadores de medição See All Excitadores modais See All Amplificadores de potência See All Sistemas Shaker See All Soluções de teste See All Atuadores See All Motores de combustão See All Durabilidade See All eDrive See All Sensores de teste de produção See All Caixas de transmissão See All Turbo Charger See All Cursos de formação See All Acústica See All Monitorização de activos e processos See All Energia eléctrica See All Sensores personalizados See All NVH See All Sensores personalizados do OEM See All Vibração See All Integridade estrutural See All Transporte automotivo e terrestre
arrow_back_ios

Main Menu

See All nCode - Análise de Durabilidade e Fadiga See All ReliaSoft - Análise e gerenciamento de confiabilidade See All API See All Ruído do produto See All Ruído de passagem de veículos See All Electroacoustics See All Identificação da fonte de ruído See All Ruído ambiental See All O que é potência sonora e pressão sonora See All Certificação de ruído See All Teste de produção e garantia de qualidade See All Análise e Diagnóstico de Máquinas See All Monitoramento de integridade estrutural See All Teste de bateria See All Introdução à Medição de Energia Elétrica Durante Transitórios See All Diagrama de circuito equivalente do transformador | HBM See All Sensores OEM para a indústria agrícola See All Sensores OEM para aplicações robóticas e de torque See All Dinâmica estrutural See All Ensaio das propriedades dos materiais

Exemplo 5 do Weibull++ - Crescimento da confiabilidade - Determinação simples do MTBF (2022)

A new helicopter system is under development. System failure data are collected on five helicopters during the final test phase. The total number of flight hours is 500, accrued over a period of 12 weeks. The 500 flight hours are partitioned into six intervals, each covering a two-week period. Every two weeks, each helicopter undergoes a thorough inspection to uncover any failures that may have occurred since the last inspection. Therefore, although the actual failure times are unknown, the analysts have the cumulative total number of flight hours and the cumulative total number of failures for the five helicopters for each two-week period.
Interval #     Interval Length in Flight Hours     Failures in Interval
1 0 - 62 12
2 63-100 6
3 101 - 187 15
4 188 - 210 3
5 211 - 350 18
6 351 - 500 16

Analysis and discussion

 

A standard folio data sheet configured for grouped failure times data type is created by selecting Times-to-Failure Data > Grouped Failure Times on the first page of the Project Item Wizard window, as shown next.

Figure 1: Selecting the data type and units of measurement for the new folio

The data set is then entered and the Crow-AMSAA (NHPP) model is selected for analysis, as shown next.

Figure 2: Data set entered in the standard folio

After analyzing the data, the results summary shows that the demonstrated failure intensity (DFI) value at the end of the 28 hours of testing is 4.4947.

Figure 3: Summary of results showing that the failure intensity demonstrated at the end of the test

This can also be seen by using the Quick Calculation Pad (QCP). Since the test ended at 28 days, the DFI is equal to the instantaneous FI at 28 days, as shown next.

Figure 4: Quick calculation showing the DFI (i.e., failure intensity at the end of the test)

A plot of the MTBF vs. time is shown next. The plot shows the mean time between failures plotted against time. The horizontal lines represent the instantaneous MTBF over the marked interval. The points represent actual failures in the data set.

Figure 5: MTBF vs. time plot showing both instantaneous and cumulative MTBF

The cumulative MTBF line is then removed by right-clicking the plot.

Figure 6: Show/Hide Items window with cleared option for cumulative MTBF line

The plot now looks like this.

Figure 7: MTBF vs. time plot showing only instantaneous MTBF