Improving the performance of micro-machined metal oxide gas sensors
Optimization of the temperature modulation mode via pseudo-random sequences
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One of the major problems in gas sensing systems that use metal oxide devices is the lack of selectivity. In order to tackle these troubles experienced with such sensors, different strategies have been developed in parallel. Modulating the working temperature of metal oxide gas sensors has been one of the most used methods to enhance sensor selectivity.Although the good results reported, until now, the selection of the frequencies used to modulate the working temperature remained an empirical process.This book describes a systematic method to determine which are the optimal temperature modulat...
One of the major problems in gas sensing systems
that use metal oxide devices is the lack of
selectivity. In order to tackle these troubles
experienced with such sensors, different strategies
have been developed in parallel. Modulating the
working temperature of metal oxide gas sensors has
been one of the most used methods to enhance sensor
selectivity.
Although the good results reported, until now, the
selection of the frequencies used to modulate the
working temperature remained an empirical process.
This book describes a systematic method to determine
which are the optimal temperature modulation
frequencies to solve a given gas analysis problem.
The method, borrowed from the field of system
identification, has been developed and introduced
for the first time in the area of gas sensors. It
consists of studying the sensor response to gases
when the operating temperature is modulated via
maximum-length pseudo-random sequences. Such signals
share some properties with white noise and,
therefore, can be of help to estimate the linear
response of a system with non-linearities (e.g., the
impulse response of a sensor-gas system).
that use metal oxide devices is the lack of
selectivity. In order to tackle these troubles
experienced with such sensors, different strategies
have been developed in parallel. Modulating the
working temperature of metal oxide gas sensors has
been one of the most used methods to enhance sensor
selectivity.
Although the good results reported, until now, the
selection of the frequencies used to modulate the
working temperature remained an empirical process.
This book describes a systematic method to determine
which are the optimal temperature modulation
frequencies to solve a given gas analysis problem.
The method, borrowed from the field of system
identification, has been developed and introduced
for the first time in the area of gas sensors. It
consists of studying the sensor response to gases
when the operating temperature is modulated via
maximum-length pseudo-random sequences. Such signals
share some properties with white noise and,
therefore, can be of help to estimate the linear
response of a system with non-linearities (e.g., the
impulse response of a sensor-gas system).
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