A Modeling Method of Stochastic Parameters’ Inverse Gauss Process Considering Measurement Error under Accelerated Degradation Test

Table 1

Simulation data of CSADT.

Stress	Time/h
	100	200	300	400	500	600	700	800	900	1000	1100	1200
60°C	4.241	6.918	8.893	10.505	11.822	13.143	14.238	15.626	16.968	18.094	19.168	20.404
	4.527	6.785	8.602	9.979	11.501	12.690	13.956	15.364	16.541	17.671	18.742	19.750
	4.491	7.814	9.805	11.338	12.469	13.713	14.502	15.258	16.637	18.604	19.327	20.177
	4.218	6.574	8.296	10.041	11.380	12.536	13.866	14.833	16.276	17.569	18.831	19.642
	4.329	6.459	8.355	9.767	10.968	12.275	13.572	14.529	15.689	16.943	17.899	19.035
80°C	6.276	9.669	11.771	14.489	16.406	18.583	20.625	22.646	23.863	25.493	26.976	28.476
	6.046	9.142	11.719	14.331	16.688	18.725	20.720	22.634	24.066	25.664	27.432	28.888
	6.625	10.434	13.049	15.200	17.016	18.922	21.207	23.144	24.970	26.357	27.922	29.478
	6.138	9.736	11.984	14.003	16.379	18.483	20.179	21.423	23.084	24.742	26.415	27.524
	4.314	9.829	13.640	16.848	19.404	21.811	23.550	25.507	26.828	28.579	29.444	30.861
100°C	7.618	11.411	14.403	17.291	19.591	22.277	24.973	26.862	28.936	31.513	33.204	35.119
	7.820	11.702	14.649	17.664	20.021	21.813	23.861	25.671	26.745	29.113	30.272	35.294
	7.574	11.425	15.152	19.381	22.349	24.883	27.815	29.779	31.376	33.675	35.321	37.083
	6.830	10.088	12.242	15.564	18.013	21.419	23.404	25.524	27.016	29.843	31.435	32.145
	7.806	11.775	15.782	18.738	20.897	23.960	26.297	27.949	29.920	31.837	33.655	35.421