GB/T 42982-2023 in English
VALIDCalculation method of mean time between failures for industrial robots
- Issued on:2023-09-07
- Implemented on:2024-04-01
- File Format:PDF
- Delivery:Via email within 5 business days
$388.00
《GB/T 42982-2023工业机器人平均无故障工作时间计算方法》由TC591(全国机器人标准化技术委员会)归口,主管部门为中国机械工业联合会。
Introduction
1. Overview of standard interpretation
The National Standard of the People's Republic of China GB/T 42982-2023 "Method for calculating the mean time between failures of industrial robots" specifies the calculation method of the mean time between failures (MTBF) of industrial robots in reliability verification, measurement and evaluation. The standard applies to all types of industrial robots, including fixed and mobile manipulators.
2. Comparison of standard frameworks
| Chapters | Main content | Keywords |
|---|---|---|
| 1. Scope | Applicability and basic requirements | Reliability verification, MTBF calculation |
| 4. Sampling | Sampling method and quantity | Random sampling, sample number |
| 5. Test method | Proving ground test and on-site tracking statistical test | Timed truncation test, cumulative time |
| 6. Test conditions and reliability correction factor | Environmental conditions and correction factors | Climate environment, mechanical environment, electromagnetic environment |
3. Standard implementation recommendations
Case analysis: An industrial robot manufacturer used a combination of proving ground tests and on-site tracking statistical tests in its tests and found that some equipment had a high failure rate when running under high loads. By adjusting the reliability correction factor and optimizing test conditions (such as temperature and humidity control), the MTBF value was significantly improved.
Implementation recommendations:
- Sampling should be carried out strictly in accordance with the standards to ensure that the samples are representative.
- In the proving ground test, simulate actual working conditions to fully expose potential failures.
- On-site tracking statistical tests need to reasonably select the reliability correction factor k according to the load conditions.

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