mice_85213

reliability analysis

geology

system reliability

tilapia

transgender

cabin

copula

reliability growth

online social

scholar journal american_85629

reliability sensitivity

structural reliability analysis

reliability method

lifetime performance

nurses_123679

pharmacologic

reliability model

time-variant

youth_78011

Reliability Engineering & System Safety

This paper proposes a time-variant reliability method for an industrial robot rotate vector (RV) reducer with multiple failure modes using a Kriging model. Firstly, the limit state functions of the industrial robot RV reducer are built by considering time-variant load and material degradation based on the failure physic method. Secondly, a time-variant reliability analysis method for multiple failure modes is proposed based on a double-loop Kriging model. The inner loop is the extremal optimization for each limit state function based on the efficient global optimization (EGO). The outer loop is the active learning reliability analysis by combining multiple response Gaussian process model (MRGP) and the Monte Carlo simulation (MCS). Furthermore, three learning functions (U-function, EFF-function and H-function) are individually adopted to choose a new sample point until the convergence is satisfied. Case studies are finally provided to illustrate the effectiveness of the proposed method.

Time-variant reliability analysis for industrial robot RV reducer under multiple failure modes using Kriging model