Method for diagnosing abnormality of sensor
AssigneeToyota Jidosha Kabushiki Kaisha
InventorsMasaki Ogawa, Yoshiaki Kato
Life of this patent
Estimating the term…
Loading patent…
AssigneeToyota Jidosha Kabushiki Kaisha
InventorsMasaki Ogawa, Yoshiaki Kato
Estimating the term…
There is provided a method for diagnosing an abnormal state of a sensor having a nonlinear output characteristic in which an output signal of a sensor changes nonlinearly. The method includes the steps of determining a first detection value which is indicated by the output signal of the sensor at a predetermined time, and determining a second detection value which is indicated by the output signal of the sensor obtained when a detection value indicated by the output signal has changed by a predetermined variation from the first detection value. The method also includes judging whether or not a deviation between the first detection value and the second detection value is out of a predetermined range, and determining that the sensor has an abnormal state when it is determined that the deviation is out of the predetermined range.
A method for diagnosing a machine operating condition sensor having an analog output which changes nonlinearly with respect to a physical condition of the machine sensed by the sensor, said analog output of the sensor being converted to a digital signal by an analog-to-digital converter, said digital signal being forwarded to an electronic unit which recognizes said digital signal as a value relating to said physical condition of the machine by using data stored beforehand in said unit which defines a relationship between said digital signal and said value relating to said physical condition based on a characteristic of a normal sensor, said method comprising the steps of:
An apparatus for diagnosing an abnormal state of a machine operating condition sensor having a nonlinear output characteristic in which an output signal of a sensor changes nonlinearly in response to a physical condition of the machine to be detected by said sensor, said apparatus comprising:
A method for diagnosing a sensor having an analog output which changes nonlinearly in response to a physical condition of a machine to which said sensor is attached, said analog output being converted to a digital signal by an analog-to-digital converter, said digital signal being processed by an electronic unit having data stored in said unit which defines a relationship between said digital signal and a value relating to said physical condition, said method comprising the steps of:
A method for diagnosing a machine operating condition sensor having an analog output which changes nonlinearly with respect to a physical condition of the machine sensed by the sensor, said analog output of the sensor being converted to a digital signal by an analog-to-digital converter, said digital signal being forwarded to an electronic unit which recognizes said digital signal as a value relating to said physical condition of the machine by using data stored beforehand in said unit which defines a relationship between said digital signal and said value relating to said physical condition based on a characteristic of a normal sensor, said method comprising the steps of:
A method for diagnosing a machine operating condition sensor having an analog output which changes nonlinearly with respect to a physical condition of the machine sensed by the sensor, said analog output of the sensor being converted to a digital signal by an analog-to-digital converter, said digital signal being forwarded to an electronic unit which recognizes said digital signal as a value relating to said physical condition of the machine by using data stored beforehand in said unit which defines a relationship between said digital signal and said value relating to said physical condition based on a characteristic of a normal sensor, said method comprising the steps of:
A method for diagnosing an engine water temperature sensor having an analog output which changes nonlinearly with respect to water temperature of the engine sensed by the sensor, said analog output of the sensor being converted to a digital signal by an analog-to-digital converter, said digital signal being forwarded to an electronic unit which recognizes said digital signal as a value relating to said engine water temperature by using data stored beforehand in said unit which defines a relationship between said digital signal and said value relating to said engine water temperature based on a characteristic of a normal sensor, said method comprising the steps of:
A method for diagnosing an engine intake air amount sensor having an analog output which changes nonlinearly with respect to intake air amount of the engine sensed by the sensor, said analog output of the sensor being converted to a digital signal by an analog-to-digital converter, said digital signal being forwarded by an electronic unit which recognizes said digital signal as a value relating to said engine intake air amount by using data stored beforehand in said unit which defines a relationship between said digital signal and said value relating to said engine intake air amount based on a characteristic of a normal sensor, said method comprising the steps of:
An apparatus for diagnosing a machine operating condition sensor having an analog output which changes nonlinearly with respect to a physical condition of the machine sensed by the sensor, said apparatus comprising:
An apparatus for diagnosing a machine operating condition sensor having an analog output which changes nonlinearly with respect to a physical condition of the machine sensed by the sensor, said apparatus comprising:
An apparatus for diagnosing an engine water temperature sensor having an analog output which changes nonlinearly with respect to water temperature of the engine sensed by the sensor, said apparatus comprising:
An apparatus for diagnosing an engine intake air amount sensor having an analog output which changes nonlinearly with respect to intake air amount of the engine sensed by the sensor, said apparatus comprising:
Dependencies are inferred from the claim text.