Drift refers to the phenomenon that the output of the sensor changes with time when the input quantity is unchanged. There are two reasons for drift: @sensor's own structural parameters change, @) changes in the surrounding environment (such as temperature, humidity, etc.), the most common is temperature drift, that is, changes in ambient temperature cause changes in the output, and temperature drift is mainly manifested
Temperature drift Temperature drift is usually the ratio of the change in the output value of the sensor when the operating environment temperature deviates from the standard environment temperature (generally 20) to the change in temperature. The detection includes sensor zero drift and sensor sensitivity drift. For non-temperature sensors, taking temperature as a parameter, the sensor is measured at zero output and full scale output at temperature operation 1 and operation, respectively. Generally, the sensor is measured three times, and the average value of the date point output and full scale output is calculated. The zero output and sensitivity of the sensor at temperature 1, 5 can be calculated, and the temperature drift of the sensor can be obtained.
2.4 Impact Measurement
The amount caused by changes in the external environment is called the influence amount, which is caused by external environmental influences such as temperature, humidity, air pressure, vibration, power supply voltage and power supply frequency. When indicating the influence amount, it is necessary to express the influence factors and the deviation of the output value at the same time. If the output value of a sensor changes by 0.02 millivolts due to a 10° temperature change, it should be written as 0.02 millivolts /10°C.
The impact test items include temperature effect, vibration effect, shock effect, acceleration effect, wet heat effect, salt spray effect, thermal radiation effect, low pressure effect, low temperature/low pressure combined effect, high temperature/low pressure combined effect, low temperature/low pressure/wet heat combined effect, dust effect, noise effect, electromagnetic compatibility.
Temperature influence tests were conducted according to GB/T 2423.1-2008 and GB/T 2423.2-2008. The vibration effect test was carried out according to GB/T 2423.10-2008; The impact impact test was conducted according to GB/T 2423.5-1995, the acceleration impact test was conducted according to GB/T 2423.15-2008, and the moisture and heat impact test was conducted according to GB/T 2423.3-2006, and the salt spray impact test was conducted according to GB/T 2423.17-2008. The thermal emission effect test was conducted according to GB/T 2423.24-2013. Low pressure impact test according to GB/T 2423.21.2008: low temperature/low pressure comprehensive impact test according to GB/T 2423.25-2008; The combined effect test of high temperature/low pressure was conducted according to GB/T 2423.26-2008. The combined effect test of low temperature/low pressure/humid heat was conducted according to GB/T 2423.27-2005. Dust impact test GB/T 2423.37-2006: Noise impact test according to GJB150.17A-2009: electromagnetic compatibility test according to GB/T 1726 "Electromagnetic Compatibility test and measurement Technology".
2.5 Dynamic Performance Test
The relationship between the output and input of a sensor when its input is a signal that varies with time. The performance indexes of the main dynamic characteristics are the time domain unit step response performance indexes.
Frequency domain frequency characteristic performance indicators.
Detection method: When the sensor is in a steady state, the typical input signal is applied to it, so that the steady state of the sensor is destroyed and the output value changes until the establishment of the down-steady state, and the whole change process is recorded with an oscilloscope or recorder. By analyzing the recorded graphs and curves, the data of dynamic performance index are obtained. Typical input signals include unit step function, unit ramp function, unit acceleration function (parabolic function), unit pulse function, and sinusoidal signal.
2.6 Reliability Test
The ability or possibility to perform the specified function without fault in a certain time and under certain conditions can evaluate the reliability of the sensor by reliability, failure rate, average trouble-free interval, etc.
Sensor reliability test classification methods are generally divided into four types: @ divided by environmental conditions, including simulated tests and field tests under various stress conditions, @ divided by test items, including environmental tests, life tests, accelerated tests and various special tests; @ According to the purpose of the test, including screening test, identification test and acceptance test; 0 Divided by the nature of the test, including destructive test and non-destructive test two categories. Generally, the classification method includes environmental test, life test, screening test, field use test and identification test.
In order to confirm the normal operation of the sensor in the application environment, the product is required to simulate some detection items. It mainly includes high temperature test, low temperature test, high and low temperature alternating test, high temperature and high humidity test, mechanical vibration test, mechanical impact test, electric on-off test, power supply influence test, cold start test, salt test, rain test, dust test reliability test according to GB/T 29309-2012 "Accelerated Stress Test Procedures for Electrical and electronic Products" high accelerated life test guidelines, the standard specifies the general requirements of high accelerated life test, test preparation and test methods. In the specified high accelerated life test, the applied test stress includes high temperature step, low temperature step, fast temperature change cycle, six degrees of freedom non-Gaussian broadband random vibration and so on

III.The Development Trend OF Sensor Detection
It mainly includes the application of precision test technology and extreme test. Including high performance test equipment such as high performance laser test system, scanning micro measurement technology, scanning X-ray interferometry and other technologies. Research on on-line testing and digital testing technology. It includes on-line testing technology, robot testing technology, networked multi-sensor testing and testing information fusion technology. System integration technology in computer network environment directly affects the scope and level of application of instrumentation and test control science and technology. Computer vision testing skills are not. It is an optical testing method combining computer vision, image processing and testing technology. It has the advantages of non-contact, real-time on-line, high precision and abundant information. The innovation of new sensing principles and the development of new technologies to promote testing. For example, based on MEMS process integrated multi-parameter sensor, high temperature pressure sensor, micro inertial sensor, optical fiber sensor detection technology. Virtual testing technology and virtual instrument development.