1. An anomaly diagnosis method of a machine installation for diagnosing the presence or absence of an anomaly in a sliding member used with the machine installation by analyzing sound or vibration produced from the machine installation, characterized by: detecting a signal representing sound or vibration from the sliding member of the machine installation or a member relevant to the sliding member of the machine installation; finding a frequency spectrum of the detected signal or an envelope signal thereof; and extracting only a frequency component caused by an anomaly in the sliding member of the machine installation or the member relevant to the sliding member of the machine installation from the found frequency spectrum and diagnosing the presence or absence of an anomaly in the sliding member used with the machine installation based on the magnitude of the extracted frequency component, wherein the frequency component caused by anomaly in the sliding member of the machine installation or the member relevant to the sliding member of the machine installation is a frequency component caused by an anomaly of a bearing used with the machine installation; wherein the frequency component caused by the anomaly of the bearing comprises at least one of an inner ring flaw component, an outer ring flaw component, a rolling element flaw component, and a cage component; and wherein, before the extracting, the frequency component caused by the anomaly of the bearing is calculated based on an inner ring rotation speed, a diameter of a rolling element, a pitch circle diameter, a number of rolling elements and a contact angle.