Standards Related to Prognostics and Health Management (PHM) for Manufacturing

Abstract

Prognostics and health management (PHM) technologies reduce burdensome maintenance tasks of products or processes through diagnostic and prognostic activities. These activities provide actionable information that enable intelligent decision-making for improved performance, safety, reliability, and maintainability. However, standards for PHM system development, data collection and analysis techniques, data management, system training, and software interoperability appear to be partly lacking. The National Institute of Standards and Technology 1 (NIST) conducted a survey of PHM-related standards to determine the industries and needs addressed by such standards, the extent of these standards, and any similarities as well as potential gaps among the documents. Standards from various national and international organizations are summarized, including those from the Air Transport Association (ATA), the International Electrotechnical Commission (IEC), the International Organization for Standardization (ISO), the Society of Automotive Engineers (SAE), and the United States Army (US Army). Finally, recommendations are offered for the development of future PHM-related standards.

Cloud-enabled prognosis for manufacturing

“…For example, there is a need to better correlate machine condition with process and inspection data to provide the context needed to differentiate between process and machine degradation [111]. The difficulty is that diagnostic and prognostic models generally require significant amounts of historical condition monitoring and event data [111,110,227]. As this data becomes more extensive, the uncertainty of these models decreases [111].…”

“…MTConnect is an example standard that can enable crowdsourcing for prognosis. Vogl et al [227] provide a good summary of the standards landscape for manufacturing prognosis, especially related to health management.…”

Hierarchical Decomposition of a Manufacturing Work Cell to Promote Monitoring, Diagnostics, and Prognostics

“…PHM research has led to studies and reviews that compare existing PHM methods along with highlighting their strengths and limitations [35][36][37][38]. More specifically, reviews of PHMbased standards have also been conducted [39][40][41].…”

“…The NIST research team is taking a methodical approach to develop the necessary use cases, performance metrics, test methods, reference datasets, and software tools to provide a means of verifying and validating PHM within manufacturing robot work cells [16,39]. Given the complexity of a typical robot work cell, it is important to initiate the research in a basic manner where variables, especially those that influence system, process, and equipment health, are minimized.…”

Standards as Reference to Build a PHM-Based Solution

“…The aim of this paper is not to list the standards exhaustively but to introduce how is possible to combine different standards in appropriate way to support the complicated process of develop a PHM-based solution and its integration within maintenance function. For more comprehensive review of current available standards the following references are recommended by the authors: Sheppard et al (2008), Vogl et al (2014) and Mathew (2012). Classification of the analysed standards according with technical fields of PHM solutions.…”