Functional safety represents that part of overall safety which depends on equipment or a system to operate correctly in its entire operational environment to take into account other environmental effects such as vibration, temperature, and humidity. Performance degradation of components and equipment due to aging and production spread are included in the functional safety concept as well.
While introducing the concept of functional safety, the Safetel project has shown that the immunity problem cannot be characterised by a simple deterministic approach, but shall be viewed within the wider domain of stochastic processes.
In defining the immunity level for equipment the project partners wanted to answer the question: 'How far are we from upsetting that equipment?' More precisely they wanted to know what the probability of obtaining a default (or even a malfunction) is; given that they were exposing the equipment to a certain level of interference.
With an intended purpose of taking into account all the parameters related to functional safety, in both the test and design processes of automotive equipment and systems, engineers shall guarantee a safety margin (which is defined as the difference between the correct performance of an equipment system, and its actual performance in the presence of electromagnetic threats). Therefore it becomes compulsory to put the definition of safety margin within a framework based upon statistical considerations.
The most innovative aspect of the Safetel project has been the introduction of the 'Detection theory', which is part of the 'Statistical signal processing theory', for approaching immunity problems in both the design and testing processes. Detection theory is an engineering term for that which the statistician calls hypothesis testing or decision making. The approach is first to take measurements, and then estimate in which of a finite number of states an underlying system resides.
The subjective assessment of equipment under test (EUT) immunity made by visual and/or aural monitoring of performance degradation is no longer of sufficient quality. The approach proposed by the Safetel project attemtps to fill the gap that exists between the development of new technologies, and immunity test methods that introduce new processing test result techniques. This is done without increasing the cost impact by avoiding the use of sophisticated test equipment.
Instead of increasing the amplitudes of the susceptibility signals the approach proposed in the Safetel framework is to determine in the monitored parameters, trying to find the onset of any failure or default. Obviously, the major problem here is that in most cases the susceptibility signal contribution is hidden in noise generated by the monitoring devices, and also by the susceptibility signal generators, which are not stable in amplitude and frequency.
Once a suitable performance signal is identified, a major effort should be made to filter out all the noise components, and at the same time, to increase the sensitivity of the measuring device. Statistical signal processing algorithms can do both things efficiently, which allows the establishment of a direct link in real time between the susceptibility, and its effect on the monitored EUT performance.
During the Safetel project several detection algorithms have been examined, discussed and tested, in an attempt to match all possible situations of monitored signals:
-Anova,
-abrupt change models based upon generalised likelihood ratio (GLR) usage,
-time series,
-regression with random input data (single input- single output),
-logistic regression.
The last one is very interesting because it is suitable to treat most immunity test cases, which presently are mainly qualitative of 'go - no go' type. In this situation it is difficult to define any susceptibility safety margin. However with the logistic regression algorithm and with the use of a large data base, it becomes possible to overcome the difficulty of a purely qualitative approach.
The 'High intensity susceptibility system' facility is another important topic dealt within the Safetel project. It is not intended to increase the susceptibility signal but, rather, to improve the detection technique by digging in the above signal to find any minimum susceptibility effect, or at least to discover start of any failure mechanism. In the proposed facility the meaning of the word 'high intensity' is introduced in the sense that the facility should allow maintenance of the upward dynamic range (maximum level/specification limit) of the susceptibility signal, equal to the downward dynamic range (guaranteed performance level/minimum detectable level) of the monitored parameter.