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PHM Tool by ALD
Prognostic Health Management / Remaining Useful Life (RUL)
About ALD
ALD is a Reliability, Maintainability & Safety engineering group
Solving the Maintenance Dilemma –
PHM as the Basis for Smart Condition Based Maintenance (CBM)
ALD’s unique PHM tool,
designed for easy calculation of RUL as the basis for CBM
PHM Tool by ALD Main Features:
	 Data Import Wizard (supporting XML, Excel, CSV)
	 Trendable / Non-Trendable Data
	 Data “Smoothing”
	 Cross Validation
	 Built-in Unique PHM / RUL Algorithms
	 Parameters and Algorithms Set-Up by Users - straight forward and easy to comprehend
	 Report Generator
	 Suitable for both Electronic and Mechanical Equipment
	 The Basis for Smart “Condition Based Maintenance”
ALD’s PHM Tool Contribution to Maintenance Decision Making:
Radical improvement of equipment reliability, safety and maintainability, KPI’s.
ALD’s PHM approach is a departure from the traditional manufacturer-driven maintenance policy practiced today by
facilities like MRO and SHOP repairs.
ALD’s PHM Tool is your basis for prognostics based maintenance policy .
ALD’s PHM approach is a holistic approach to system maintenance based on
“Prognostics Health Management” (PHM)
ALD’s RAMS Solutions Include:
	 Services
	Software
	Training
For 30 years, ALD has developed cutting edge RAMS software tools, supporting thousands of customers and
projects around the world.
As part of ALD’s research and development activities, it has developed a unique approach for PHM, providing, for the first
time, prognostics of RUL using advanced algorithms.
ALD was established in 1984, and now employs over 200 employees.
The company is represented globally, and is well known for its RAMS solutions.
ALD’s Data Driven approach provides the freedom to conduct PHM calculation across various equipment types,
making the tool universal while not compromising RUL accuracy.
ALD’s PHM Tool Supports Two Sets of Algorithms:
	 For statistics with “trendability”.
	For statistics without “trendability”, but with “accumulation”.
Sensors data collection screen (with import capabilities) Analysis parameters screen
Manual cross-validation results Final remaining useful life (RUL) prognostics results
ALD’s PHM Tool
ALD’s solution supports Data Driven (model free) approach
One of the main tasks of system engineers / maintenance engineers is to plan the appropriate maintenance policy
that yields the highest system availability rate, at the lowest maintenance cost, while not compromising safety.
There are a number of approaches to system maintenance:
	 Failure Diagnostics – which is performed AFTER a failure occurs
	 Failure Prognostics – which is performed BEFORE a failure occurs
Prognostics provides for detection of failures before failures occur by means of calculating RUL (Remaining Useful Life).
About PHM
What problem do engineers face?
ALD’s PHM Process
•	 Trendable/Non-Trendable data
•	 Data Smoothing
•	 Fitting Function Selection (Expo, Poly,
	 Clustering, Moving Average Interpolation, etc.)
•	 Set SVR Meta-Parameters
•	 Cross-Validation
•	 Fine Tuning
Parameters
Setting
RUL Calculation
Results
Sensors Data
Transfer
ALD’s PHM/RUL Tool

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PHM_Commander_Brochure

  • 1. PHM Tool by ALD Prognostic Health Management / Remaining Useful Life (RUL) About ALD ALD is a Reliability, Maintainability & Safety engineering group Solving the Maintenance Dilemma – PHM as the Basis for Smart Condition Based Maintenance (CBM) ALD’s unique PHM tool, designed for easy calculation of RUL as the basis for CBM PHM Tool by ALD Main Features: Data Import Wizard (supporting XML, Excel, CSV) Trendable / Non-Trendable Data Data “Smoothing” Cross Validation Built-in Unique PHM / RUL Algorithms Parameters and Algorithms Set-Up by Users - straight forward and easy to comprehend Report Generator Suitable for both Electronic and Mechanical Equipment The Basis for Smart “Condition Based Maintenance” ALD’s PHM Tool Contribution to Maintenance Decision Making: Radical improvement of equipment reliability, safety and maintainability, KPI’s. ALD’s PHM approach is a departure from the traditional manufacturer-driven maintenance policy practiced today by facilities like MRO and SHOP repairs. ALD’s PHM Tool is your basis for prognostics based maintenance policy . ALD’s PHM approach is a holistic approach to system maintenance based on “Prognostics Health Management” (PHM) ALD’s RAMS Solutions Include: Services Software Training For 30 years, ALD has developed cutting edge RAMS software tools, supporting thousands of customers and projects around the world. As part of ALD’s research and development activities, it has developed a unique approach for PHM, providing, for the first time, prognostics of RUL using advanced algorithms. ALD was established in 1984, and now employs over 200 employees. The company is represented globally, and is well known for its RAMS solutions.
  • 2. ALD’s Data Driven approach provides the freedom to conduct PHM calculation across various equipment types, making the tool universal while not compromising RUL accuracy. ALD’s PHM Tool Supports Two Sets of Algorithms: For statistics with “trendability”. For statistics without “trendability”, but with “accumulation”. Sensors data collection screen (with import capabilities) Analysis parameters screen Manual cross-validation results Final remaining useful life (RUL) prognostics results ALD’s PHM Tool ALD’s solution supports Data Driven (model free) approach One of the main tasks of system engineers / maintenance engineers is to plan the appropriate maintenance policy that yields the highest system availability rate, at the lowest maintenance cost, while not compromising safety. There are a number of approaches to system maintenance: Failure Diagnostics – which is performed AFTER a failure occurs Failure Prognostics – which is performed BEFORE a failure occurs Prognostics provides for detection of failures before failures occur by means of calculating RUL (Remaining Useful Life). About PHM What problem do engineers face? ALD’s PHM Process • Trendable/Non-Trendable data • Data Smoothing • Fitting Function Selection (Expo, Poly, Clustering, Moving Average Interpolation, etc.) • Set SVR Meta-Parameters • Cross-Validation • Fine Tuning Parameters Setting RUL Calculation Results Sensors Data Transfer ALD’s PHM/RUL Tool