Abstract: Disclosed are apparatuses and methods for detecting a failure of a torque sensor for a motor-driven power steering system, the apparatus including a processor configured to detect a failure in a first torque sensor and a second torque sensor based on main torque signals and sub-torque signals, compare a first torque value of the first torque sensor and a second torque value of the second torque sensor, in response to the first torque sensor and the second torque sensor being normal, measure an amount of change in first torque of the first torque sensor and an amount of change in second torque of the second torque sensor by applying electric current to a motor, in response to the comparison result being abnormal, and determine a failure in the first torque sensor and the second torque sensor based on the amount of change in first torque and second torque.

Abstract: Disclosed are apparatuses and methods for detecting a failure of a torque sensor for a motor-driven power steering system, the apparatus including a processor configured to detect a failure in a first torque sensor and a second torque sensor based on main torque signals and sub-torque signals, compare a first torque value of the first torque sensor and a second torque value of the second torque sensor, in response to the first torque sensor and the second torque sensor being normal, measure an amount of change in first torque of the first torque sensor and an amount of change in second torque of the second torque sensor by applying electric current to a motor, in response to the comparison result being abnormal, and determine a failure in the first torque sensor and the second torque sensor based on the amount of change in first torque and second torque.

Abstract: Disclosed is a smart factory platform for processing data obtained in a continuous process including a first process and a second process following the first process. The smart factory platform includes a distributed parallel processing system including at least one processing unit that generates mapping data by mapping a process identification (ID) to collection data collected from the continuous process and sorts the mapping data to generate sorting data, the process ID defining a process where the collection data occurs and the sorting data being generated for association processing between pieces of collection data collected from different processes; and a big data analysis system storing the sorting data with respect to the process ID.

Abstract: Disclosed is a smart factory platform for processing data obtained in a continuous process including a first process and a second process following the first process. The smart factory platform includes a distributed parallel processing system including at least one processing unit that generates mapping data by mapping a process identification (ID) to collection data collected from the continuous process and sorts the mapping data to generate sorting data, the process ID defining a process where the collection data occurs and the sorting data being generated for association processing between pieces of collection data collected from different processes; and a big data analysis system storing the sorting data with respect to the process ID.