The jetting reliability of the inkjet printhead is a key factor for successful usage of the printer. It is known that the monitoring method using self-sensing signal can detect jetting failures to ensure jetting reliability. However, a monitoring technique using self-sensing signal to identify different failure types with the ability to calculate the droplet speed has not been reported so far. In order to identify failure type accurately, different self-sensing signal features are investigated in the present study, including the improper driving voltage, fluid viscosity and the backpressure control. Furthermore, the self-sensing signal is applied to extract the characteristic parameters and explore the droplet speed monitoring pattern. In order to evaluate the effectiveness of the proposed detection method, a monitoring system consisting of the self-sensing signal acquisition module and the monitoring software interface is also developed in the present study. Experimental results indicate that the monitoring system recognizes jetting failures accurately. It is found that during the normal operation of the printhead, the average error for the single nozzle and the multi-nozzle is 5.03 % and 7.37 %, respectively.

喷墨打印头的喷射可靠性是成功使用打印机的关键因素。已知使用自感信号的监视方法可以检测喷射故障以确保喷射可靠性。然而，迄今为止尚未报道使用自感信号来识别具有计算墨滴速度的能力的不同故障类型的监视技术。为了准确识别故障类型，在本研究中研究了不同的自感应信号特征，包括驱动电压，流体粘度和反压控制不当。此外，自感应信号被应用于提取特征参数并探索液滴速度监测模式。为了评估所提出的检测方法的有效性，本研究还开发了由自感信号采集模块和监测软件接口组成的监测系统。实验结果表明，该监控系统能够准确识别喷射故障。已经发现，在打印头的正常操作期间，单个喷嘴和多个喷嘴的平均误差分别为5.03％和7.37％。