How engineers can conduct cost-benefit analysis for PHM systems

Banks, Jeffrey; Reichard, Karl; Crow, Eddie C.; Nickell, K.

doi:10.1109/maes.2009.4811085

Cited by 35 publications

(11 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Information on spare part replacement schedule reduces stockholding as parts are replaced as they are arrived. Business intelligence (BI) yields substantial simplification of the supply chain for inventory [10]. As a result, one can have a better estimation of system redundancy requirements.…”

Section: Reliability and Interoperabilitymentioning

confidence: 99%

Interoperability optimization and service enhancement in vehicle onboard infortainment systems

Fong

Wong

Situ

et al. 2016

2016 IEEE International Conference on Consumer Electronics (ICCE)

View full text Add to dashboard Cite

show abstract

Section: Reliability and Interoperabilitymentioning

confidence: 99%

Interoperability optimization and service enhancement in vehicle onboard infortainment systems

Fong

Wong

Situ

et al. 2016

2016 IEEE International Conference on Consumer Electronics (ICCE)

View full text Add to dashboard Cite

show abstract

“…Their methodology utilizes preexisting reliability and logistics source information from a Failure Modes & Effects Criticality Analysis (FMECA), line maintenance activities and legacy field event rates. IVHM will have the greatest benefit when it is applied to those areas that are historically the least reliable, have failure modes that can greatly impact mission success, have sub-systems that are the most difficult to diagnose or for which replacements parts cannot be obtained in a timely-manner [22].…”

Section: Cost Vs Benefitmentioning

confidence: 99%

A Survey of Health Management User Objectives Related to Diagnostic and Prognostic Metrics

Wheeler

Kurtoglu

Poll

2009

Volume 2: 29th Computers and Information in Engineering Conference, Parts a and B

View full text Add to dashboard Cite

One of the most prominent technical challenges to effective deployment of health management systems is the vast difference in user objectives with respect to engineering development. In this paper, a detailed survey on the objectives of different users of health management systems is presented. These user objectives are then mapped to the metrics typically encountered in the development and testing of two main systems health management functions: diagnosis and prognosis. Using this mapping, the gaps between user goals and the metrics associated with diagnostics and prognostics are identified and presented with a collection of lessons learned from previous studies that include both industrial and military aerospace applications.*

show abstract

“…The usual approach taken is to give a short discussion of the concept and then to describe specific IVHM solutions [9], [14], [27]. Despite their brevity, these introductory discussions typically contain a description of the benefits of IVHM, although a more detailed treatment of the potential drivers is given by authors who substantially focus on cost-benefit analysis [3], [26], [33]. For mission operations, adoption of IVHM can provide with adaptive control and improved survivability which enhances the probability of mission success [14].…”

Section: Drivers For Ivhmmentioning

confidence: 99%

“…Most authors [33], [1], [26] see the main barrier to the adoption of IVHM as the cost of hardware and software. Reichard et al [7] indicate that this cost includes not only the development of the sensors and data processing, but also the penalty costs associated with additional weight, power, computing and communication resources.…”

Section: Finding 5: Ivhm Technology Has Many Potential Drivers To MImentioning

confidence: 99%

“…IVHM systems can vary in scope depending on the different subsystems and components of the vehicle [5]. IVHM technologies bring the greatest benefit when they are applied to the areas that have the most critical impact on vehicle performance and support costs [27], [33]. Even within the same industrial sector, effective IVHM design depends upon the specific business case, market segment and vehicle owner [8], [15].…”

Section: Finding 6: the Principal Barrier To The Adoption Of Ivhm Is mentioning

confidence: 99%

See 1 more Smart Citation

State-of-the-art in integrated vehicle health management

Benedettini

Baines

Lightfoot

et al. 2008

Proceedings of the Institution of Mechanical Engineers, Part G:

101

View full text Add to dashboard Cite

Integrated Vehicle Health Management (IVHM) is the collection of data relevant to the present and future performance of a vehicle system and its transformation into information that can be used to support operational decisions. This design and operation concept embraces an integration of sensors, communication technologies and artificial intelligence in order to provide vehicle-wide abilities to diagnose problems and recommend solutions. This paper aims to report the state-of-the-art of IVHM research by presenting a systematic review of the literature. Literature from different sources is collated and analysed, and the major emerging themes are presented. On this basis, the paper describes the IVHM concept and its evolution, discusses configurations and existing applications along with potential benefits and barriers to adoption, summarises design guidelines and available methods, and identifies future research challenges.

show abstract

How engineers can conduct cost-benefit analysis for PHM systems

Cited by 35 publications

References 1 publication

Interoperability optimization and service enhancement in vehicle onboard infortainment systems

Interoperability optimization and service enhancement in vehicle onboard infortainment systems

A Survey of Health Management User Objectives Related to Diagnostic and Prognostic Metrics

State-of-the-art in integrated vehicle health management

Contact Info

Product

Resources

About