Auto-Calibration and Fault Detection and Isolation of Skewed Redundant Accelerometers in Measurement While Drilling Systems

作者：Moosavi Seyed Mohsen Seyed; Moaveni Bijan^*; Moshiri Behzad; Arvan Mohammad Reza

来源：Sensors (Switzerland), 2018, 18(3): 702.

DOI：10.3390/s18030702

• accelerometer
• auto-calibration
• directional drilling
• fault diagnosis and isolation
• measurement while drilling (MWD)
• optimal skewed structure

The present study designed skewed redundant accelerometers for a Measurement While Drilling (MWD) tool and executed auto-calibration, fault diagnosis and isolation of accelerometers in this tool. The optimal structure includes four accelerometers was selected and designed precisely in accordance with the physical shape of the existing MWD tool. A new four-accelerometer structure was designed, implemented and installed on the current system, replacing the conventional orthogonal structure. Auto-calibration operation of skewed redundant accelerometers and all combinations of three accelerometers have been done. Consequently, biases, scale factors, and misalignment factors of accelerometers have been successfully estimated. By defecting the sensors in the new optimal skewed redundant structure, the fault was detected using the proposed FDI method and the faulty sensor was diagnosed and isolated. The results indicate that the system can continue to operate with at least three correct sensors.

• 出版日期2018-3