The use of the sensors shortens the service life, wears out and reduces their accuracy due to operation. For sensors with a susceptibility to inaccuracy, it is possible to create a sensor-device-software diagnostic set. Such a scheme of configuration should be able to provide autonomic diagnostic, calibration, evaluation and also recalibration of the sensor. The diagnostic equipment could also have a shock test function in order to intentionally and faster reduce the service life and thus test the correctly set parameters of the diagnostic algorithm in laboratory conditions. The diagnostic device is a specialized technical system that provides conditions for the future potential of the testing development, knowledge and experience. According to the design, it can be modularly enriched with new parts, fixtures and systems to provide a more diverse range of options. There would be space for exploring the possibilities of new types of sensors, their comparison, as well as full-fledged automation of the complex diagnostic process.

The use of sensors prevents the shortened service life, wear and tear, and decreased accuracy due to degradation during operation. For sensors prone to inaccuracy, a “sensor-device-program” diagnostic assembly has been created. Such a circuit is capable of autonomous diagnosis, calibration and evaluation, up to and including autonomous recalibration of sensors. The diagnostic device also has a shock test function. The purpose of the operation is to deliberately increase the life and accuracy of the sensor under test. The diagnostic device is designed for testing under laboratory conditions and verifies the correctness of the diagnostic algorithm. The result of diagnostics is a report on the current state of the sensor and the changes compared to the past states. The current state includes estimates of accuracy, range, sensitivity or error parameters such as strain constant, maximum Po value and others. Thus, the degradation of selected parameters can be monitored and a mathematical calculation of the results can be applied to possibly improve/correct the sensor errors. By recording force levels, it will be known what force was applied to the sensor during the measurement and thus protects against damage from overloading. The maximized life is achieved through a combination of the accuracy control, calibration performance and error estimation. As a result, the conventional industrial sensor will be a reliable tool for industrial measurements, not just laboratory measurements.