Abstract: A pressure signal from a differential pressure transducer is dynamically compensated for error, such as zero point drift, due to time passage or temperature change. A processor associated with a pressure transducer employs an algorithm to continuously monitor the pressure signal to determine when signal characteristics indicate zero signal level. Then the algorithm determines a current correction factor or updates a previously determined correction factor, and records the current correction factor in a non-volatile memory as a function of ambient temperature. When the signal characteristics indicate other than a zero signal level, such as when differential pressure is non-zero, the algorithm recalls from memory and applies the most recently determined correction factor for a corresponding ambient temperature. Suitable time intervals for determining a current correction factor are found by monitoring the process signal and seeking those time periods when the signal is both calm and quiet, i.e.

Abstract: A pressure signal from a differential pressure transducer is dynamically compensated for error, such as zero point drift, due to time passage or temperature change. A processor associated with a pressure transducer employs an algorithm to continuously monitor the pressure signal to determine when signal characteristics indicate zero signal level. Then the algorithm determines a current correction factor or updates a previously determined correction factor, and records the current correction factor in a non-volatile memory as a function of ambient temperature. When the signal characteristics indicate other than a zero signal level, such as when differential pressure is non-zero, the algorithm recalls from memory and applies the most recently determined correction factor for a corresponding ambient temperature. Suitable time intervals for determining a current correction factor are found by monitoring the process signal and seeking those time periods when the signal is both calm and quiet, i.e.