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Machine Fault Finder is a diagnostic tool to find the faults of a machine using FFT analysis. This tool is not specific to the model of vibration analyzer/data collector rather it uses the FFT spectrum data for diagnosis. This application contains Bearing Database for most commonly used 30000 bearings. Concept of this tool is to provide users the current defect situation in the machine or train as well as in individual equipment in that machine train.

Features-
One of the simplest tools to operate. Equipment-specific -specific diagnosis such as motor, fan, pump, belt, bearing, etc. Multiple result window options for multiple possibilities. Option of manual data filtering for more accurate results. Single click operation for default values. Option to insert data manually or from various various file formats formats including including CSV format.

Installation
Simple Installation - USB flash drive or via internet. Shortcut hortcut is created created on the desktop desktop with name Machine Fault Finder. Standard Standard licensing licensing process process based on string generation & secured by code from us.

Operation
Manual data entry for X, and Y values from FFT plus RPM. Automated data collection: Either directly from the Hardware devices or from the data file placed locally on the computer system. For some existing data collectors, this process is already in place. Others are in process. Alternatively, select data stored locally on the computer system. The type of files for this arrangement could be UNV/UFF, CSV, or FD2. Automated data collection from the instruments directly.

Basic Diagnosis Advanced Diagnosis
This option provides provides users with the basic diagnosis diagnosis based on the peaks irrespective irrespective of the machine machine type and settings. User can get an overview about the prominent faults .

Advanced Diagnosis 
This option provides provides diagnosis diagnosis for specific specific equipment equipment in machine train. This is a unique facility facility for finding finding out faults in individual individual equipment equipment of machine machine train. The suspected suspected or targeted targeted equipment equipment can be identified identified from menu and on a click of a button all defects defects pertaining to the concerned concerned equipment equipment are displayed