Seyed Moosavi Seyed Mohsen, Moaveni Bijan, Moshiri Behzad, Arvan Mohammad Reza
Department of Electrical Engineering, Science and Research Branch, Islamic Azad University, Tehran 14778-9385, Iran.
School of Railway Engineering, Iran University of Science and Technology, Tehran 16846-13114, Iran.
Sensors (Basel). 2018 Feb 27;18(3):702. doi: 10.3390/s18030702.
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.
本研究为随钻测量(MWD)工具设计了倾斜冗余加速度计,并对该工具中的加速度计进行了自动校准、故障诊断和隔离。根据现有MWD工具的物理形状,精确选择并设计了包含四个加速度计的最优结构。设计、实现了一种新的四加速度计结构,并将其安装在当前系统上,取代了传统的正交结构。已对倾斜冗余加速度计以及三个加速度计的所有组合进行了自动校准操作。因此,成功估计了加速度计的偏置、比例因子和失准因子。通过检测新的最优倾斜冗余结构中的传感器,利用所提出的故障检测与隔离(FDI)方法检测到故障,并对故障传感器进行了诊断和隔离。结果表明,该系统至少有三个正确的传感器时仍可继续运行。