Anomaly diagnosis apparatus and method of machine installation

• US 7,587,299 B2
• Filed: 08/29/2007
• Issued: 09/08/2009
• Est. Priority Date: 11/06/2000
• Status: Expired due to Fees

• Current Assignee: NSK Limited
• Original Assignee: NSK Limited
• Inventors: Mutoh, Yasushi, Miyasaka, Takanori, Aramaki, Hirotoshi, Asaeda, Shinichiro
• Primary Examiner(s): Barbee; Manuel L
• Application Number:
  US11/896,020
• Publication Number:
  US 20080027659A1
• Time in Patent Office: 741 Days
• Field of Search: 702 33- 36, 702/39, 702 41- 44, 702/56, 702/66, 702/70, 702/71, 702 75- 78, 702/113, 702/141, 700/174, 700/175, 340/679, 340/682, 340/683, 735/87, 735/93
• US Class Current: 702/183
• CPC Class Codes: G01H 1/00 Measuring characteristics of vibrations in solids by using direct conduction to the detector G01H9/00, G01H11/00 take precedence
• CPC Class Codes: G01H 1/003 of rotating machines G01H1/10 takes precedence
• CPC Class Codes: G01H 3/08 Analysing frequencies present in complex vibrations, e.g. comparing harmonics present acoustic presence detection G01V1/001
• CPC Class Codes: G05B 19/4065 Monitoring tool breakage, life or condition
• CPC Class Codes: G05B 2219/37435 Vibration of machine

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.

Claims

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.

2. The anomaly diagnosis method of the machine installation as claimed in claim 1 wherein the presence or absence of an anomaly is diagnosed by comparing the extracted frequency component with a reference value determined in response to an effective value of the detected signal or the envelope signal thereof.

3. The anomaly diagnosis method of the machine installation as claimed in claim 1 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 corresponds to an abnormal part of the machine installation or a machine.