Filtering device, sensor device, filtering method and program

A filtering method comprising:

• acquiring an input value that is repeatedly input, the input value being a magnitude value based on a measurement of a displacement of a workpiece arranged in proximity to the filtering device;
• and
• applying filtering to reduce noise included in the input value to obtain an output value, wherein
• in the applying, when a difference between a current input value acquired in the acquiring and a past output value obtained in the applying exceeds a first threshold, obtaining a new output lue by weighting the current input value with a weight different from a weight for obtaining the past output value, and
• the method further comprising determining the displacement of the workpiece based on the new output value,
• the filtering calculates the output value by a moving average, and when the difference exceeds the first threshold, increases the weight of the current input value by decreasing a count of the input values that are subjected to the moving average, and then calculates the new output value, and
• the weight of the current input value equals an inverse of the count of the input values, that are subjected to the moving average.

A non-transitory computer-readable recording medium storing a program causing a computer to:

• acquire an input value that is repeatedly input, the input value being a magnitude value based on a measurement of a displacement of a workpiece arranged in proximity to the filtering device;
• and
• apply filtering to reduce noise included in the input value to obtain an output value, wherein
• when a difference between a current input value acquired in the acquiring and a past output value obtained in the applying exceeds a first threshold, the filtering includes obtaining a new output value by weighting the current input value with a weight different from a weight for obtaining the past output value, and
• further causing the computer to determine the displacement of the workpiece based on the new output value, and
• the filtering calculates the output value by a moving average, and when the difference exceeds the first threshold, increases the weight of the current input value by decreasing a count of the input values that are subjected to the moving average, and then calculates the new output value, and
• the weiht of the current input value equals an inverse of the count of the input values that are subjected to the moving average.