Anomaly diagnosis apparatus and method of machine installation
First Claim
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.
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Abstract
An anomaly diagnosis apparatus for analyzing sound or vibration data produced by a machine installation and diagnosing the presence or absence of an anomaly in a sliding member in the machine installation which is made up of a diagnosis processing server (1) and a user information processing terminal (3) which are connected through a network (2). The diagnosis processing server (1) receives the sound or vibration data produced by the machine installation and information for identifying the sliding member used with the machine installation through the network (2) from the user information processing terminal 3, makes an anomaly diagnosis of the machine installation based on the received data, and transmits the diagnosis result through the network (2) to the user information processing terminal (3), thereby lightening the burden of the user and executing anomaly diagnosis processing promptly.
22 Citations
3 Claims
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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:
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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. - View Dependent Claims (2, 3)
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Specification