BS-ISO-13374-2-2007.pdf
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1、BRITISH STANDARD BS ISO 13374-2:2007 Condition monitoring and diagnostics of machines Data processing, communication and presentation Part 2: Data processing ICS 17.160; 35.240.99 ? Licensed Copy: London South Bank University, London South Bank University, Wed Oct 17 01:13:35 GMT+00:00 2007, Uncontr
2、olled Copy, (c) BSI BS ISO 13374-2:2007 This British Standard was published under the authority of the Standards Policy and Strategy Committee on 31 October 2007 BSI 2007 ISBN 978 0 580 55407 0 National foreword This British Standard is the UK implementation of ISO 13374-2:2007. The UK participation
3、 in its preparation was entrusted by Technical Committee GME/21, Mechanical vibration, shock and condition monitoring, to Subcommittee GME/21/7, Condition monitoring. A list of organizations represented on this committee can be obtained on request to its secretary. This publication does not purport
4、to include all the necessary provisions of a contract. Users are responsible for its correct application. Compliance with a British Standard cannot confer immunity from legal obligations. Amendments issued since publication Amd. No. DateComments Licensed Copy: London South Bank University, London So
5、uth Bank University, Wed Oct 17 01:13:35 GMT+00:00 2007, Uncontrolled Copy, (c) BSI Reference number ISO 13374-2:2007(E) INTERNATIONAL STANDARD ISO 13374-2 First edition 2007-07-15 Condition monitoring and diagnostics of machines Data processing, communication and presentation Part 2: Data processin
6、g Surveillance et diagnostic dtat des machines Traitement, change et prsentation des donnes Partie 2: Traitement des donnes BS ISO 13374-2:2007 Licensed Copy: London South Bank University, London South Bank University, Wed Oct 17 01:13:35 GMT+00:00 2007, Uncontrolled Copy, (c) BSI ii Licensed Copy:
7、London South Bank University, London South Bank University, Wed Oct 17 01:13:35 GMT+00:00 2007, Uncontrolled Copy, (c) BSI iii Contents Page Foreword iv Introduction v 1 Scope . 1 2 Normative references. 1 3 CM time-order/time-reference data, normally referenced with UTC and local time zone; data qu
8、ality indicator (e.g. “bad”, “good”, “unknown”, “under review”, etc.). Examples of digitized data include: floating point values for scalar data; magnitude and time series for dynamic data; thermal radiation data with digitized image for thermographic data; sample test results for lubricating fluid/
9、air/water sample data. BS ISO 13374-2:2007 Licensed Copy: London South Bank University, London South Bank University, Wed Oct 17 01:13:35 GMT+00:00 2007, Uncontrolled Copy, (c) BSI 7 4.3 Data Manipulation (DM) blocks As detailed in Figure 4, the DM block processes the digital data from the DA block
10、to convert it to a desired form which characterizes specific descriptors (features) of interest in the machine condition monitoring and diagnostic process. Often the functionality within this layer consists of some signal processing algorithms. Figure 4 Data Manipulation block This block may contain
11、 speciality processing functions such as Fast Fourier Transforms, wavelets or simple average values over a time interval. Examples of the descriptor outputs of the DM block include: extracted feature; conversion from time domain to frequency domain and vice versa; calculated, non-interpretative valu
12、es; virtual sensor (differential pressure from inlet and outlet pressures); integrating acceleration to velocity/double integration to displacement; filtering; normalization; time series including sample rate. BS ISO 13374-2:2007 Licensed Copy: London South Bank University, London South Bank Univers
13、ity, Wed Oct 17 01:13:35 GMT+00:00 2007, Uncontrolled Copy, (c) BSI 8 4.4 State Detection (SD) blocks As shown in Figure 5, the primary function of the SD block (sometimes referred to as “state awareness”) is to compare DM and/or DA outputs against expected baseline profile values or operational lim
14、its, in order to generate enumerated state indicators with respective boundary exceedances. The SD block generates indicators which may be utilized by the Health Assessment block to generate alerts and alarms. When appropriate data are available, the SD block should generate assessments based on ope
15、rational context, sensitive to the current operational state or operational environment. Figure 5 State Detection block Typically, this block of processing provides data which will contribute to a diagnosis in the health assessment block. The SD block may make use of current and historical DA and DM
16、 outputs to evaluate the current state. It may provide data manipulation and sensor module control signals, such as acquisition scheduling commands, data triggers and processing instructions. Examples of outputs of the SD block include: enumerated state indicator; threshold boundary alerts; severity
17、 of threshold boundary deviation above/below; rate of change alert; BS ISO 13374-2:2007 Licensed Copy: London South Bank University, London South Bank University, Wed Oct 17 01:13:35 GMT+00:00 2007, Uncontrolled Copy, (c) BSI 9 degree of abnormality; statistical analysis using parametric and non-par
18、ametric approaches, e.g. Weibull and Gaussian distribution. 4.5 Health Assessment (HA) blocks As shown in Figure 6, the HA block is an information block which utilizes expertise from a human or automated agent to determine the current health of the equipment and to diagnose existing fault conditions
19、. It determines the state of health and potential failures by fusing the outputs of the DA, DM, SD and other HA blocks. Figure 6 Health Assessment block An output of this block includes the component/systems current health grade and diagnosed faults and failures with associated likelihood probabilit
20、y. A calculation of the current risk priority number (RPN) may also be performed. Modelling of ambiguity groups and multiple hypotheses may be included in the output data structures. The HA block may also output an explanation detailing the evidence for a diagnosis or health grade. BS ISO 13374-2:20
21、07 Licensed Copy: London South Bank University, London South Bank University, Wed Oct 17 01:13:35 GMT+00:00 2007, Uncontrolled Copy, (c) BSI 10 4.6 Prognostic Assessment (PA) blocks As shown in Figure 7, the primary function of the PA block is to project the future state of the monitored equipment u
22、sing a combination of prognostic models and their algorithms, including future operational usage model(s). This block determines the future state of health and failure modes by combining the relevant outputs of the DA, DM, SD, HA and other PA blocks and applying a prognostic algorithm or model based
23、 on supplied projected operational utilization. To aid the algorithm or model, the HA block may also retrieve account historical failure data and operational history, along with projected failure rates related to operational utilization. The prognostics layer may report health grade at a future time
24、 or may estimate the remaining life of an asset given its projected usage profile. Assessments of future health or remaining life may also have an associated prognosis of the projected fault condition. A calculation of the future risk priority number (RPN) may also be performed. An output of this bl
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