Virtual–real fusion maintainability verification based on adaptive weighting and truncated spot method

Maintainability is an important general quality characteristic of products. Insufficient maintainability will lead to long maintenance time and high cost, thus affecting the availability verification means ensure meets design requirements. However, cost traditional real method very high, virtual has insufficient accuracy due lack large force feedback when human body moving. In order reduce evaluation error test sample size, paper conducts based on mixed physical scenarios. Aiming at problem that methods are difficult deal with information synchronous simulation in process, this study proposes a virtual–real fusion algorithm adaptive weighting truncated SPOT (Sequential Posterior Odd Test) method. It can weigh adaptively obtain sample. Then, used evaluate small samples. The adjustment valve clearance, replacement air filter element starting motor tasks ship engine taken as examples for demonstration. respectively verification, compared scenario constructed by 3D printing, indicating 89%, while only 33%.