Reliability Analysis of Magnetic Resonance Imaging Equipment Based on Non-homogeneous Poisson Process.
10.3969/j.issn.1671-7104.2020.06.019
- Author:
Chengchen CHU
1
;
Bin LI
2
Author Information
1. Hospital Management Research Center, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, 200233.
2. Shanghai Medical Equipment Management and Quality Control Center, Shanghai, 200233.
- Publication Type:Journal Article
- Keywords:
magnetic resonance imaging equipment;
mean time between failures(MTBF);
reliability
- MeSH:
Equipment and Supplies, Hospital/standards*;
Magnetic Resonance Imaging/instrumentation*;
Reproducibility of Results
- From:
Chinese Journal of Medical Instrumentation
2020;44(6):558-561
- CountryChina
- Language:Chinese
-
Abstract:
In order to evaluate the quality of different brands of magnetic resonance imaging system, optimize the quality of equipment repair and maintenance, and ensure the quality and safety of the equipment in clinical use. Meanwhile build the reliability evaluation model of magnetic resonance imaging equipment based on the large failure data collected by magnetic resonance repair system. In this paper, using the fault data of a certain brand of magnetic resonance in the past two years, applying the statistical judgment criterion, selecting the appropriate statistical distribution model, and finally fitting the equipment reliability evaluation model based on the non-homogeneous Poisson process, and then obtaining the magnetic resonance imaging equipment. Reliability evaluation indicators such as cumulative fault strength function, magnetic resonance imaging equipment fault density function, and mean time between failures. According to the calculated reliability index, on the one hand, it can evaluate the system reliability quality of a certain brand of magnetic resonance imaging equipment, and then evaluate the quality of different brands of magnetic resonance imaging equipment, on the other hand, it can help hospital equipment managers to carry out operational optimization, maintenance strategy development and safety management of magnetic resonance imaging equipment.
