A predictive linac quality assurance system based on the output of the Machine Performance Check (MPC) application was developed using statistical process control and autoregressive integrated moving average forecast modeling. The aim of this study is to demonstrate the feasibility of predictive quality assurance based on MPC tests that allow proactive preventative maintenance procedures to be carried out to better ensure optimal linac performance and minimize downtime.

中文翻译：

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基于机器性能检查应用程序的线性加速器的预测质量保证，使用统计过程控制和ARIMA预测模型。

使用统计过程控制和自回归综合移动平均值预测模型，开发了基于机器性能检查（MPC）应用程序输出的直线加速器质量保证预测系统。这项研究的目的是证明基于MPC测试的预测质量保证的可行性，该测试允许进行主动的预防性维护程序，以更好地确保最佳直线加速器性能并最大程度地减少停机时间。