Data-driven reliability analysis of Boeing 787 Dreamliner

Pandian, Guru Prasad; Pecht, Michael; Zio, Enrico; Hodkiewicz, Melinda

doi:10.1016/j.cja.2020.02.003

Cited by 24 publications

(13 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Blanket measurements of temperature and voltage (i.e. single sensors collect data from a group of cells) reduce the capability of the BMS to monitor abnormal events; in the worst case this is highlighted when the cause or individual cell responsible for triggering a thermal runaway event cannot be identified, even after the event [40]. This issue raises two factors, (i) firstly the lack of sensors to acquire the data, and secondly (ii) the need to capture and store sufficient data within the BMS for analysis (during or postoperation).…”

Section: Motivationmentioning

confidence: 99%

A Smart Cell Monitoring System Based on Power Line Communication—Optimization of Instrumentation and Acquisition for Smart Battery Management

Vincent¹,

Gulsoy

Sansom

et al. 2021

IEEE Access

View full text Add to dashboard Cite

Energy density of current generation battery packs is insufficient for next generation electric vehicles nor the electrification of the aerospace industry. Currently, approximately a third of energy density is lost due to ancillary demands (e.g., cooling and instrumentation) within a pack, relative to cell energy density. Smart cells, instrumented cells with sensors and circuitry, offer a means to monitor cell performance (e.g. temperature, voltage, current data). Uniquely here we demonstrate our 21700 cells instrumented with internal thermistor sensing arrays with custom miniature interface circuitry including data acquisition and communication components. This circuitry including a power line communication (PLC) system, enables sensor data to be collected and transmitted to a master controller without requiring additional wiring, and can achieve an excellent <0.005 % message error rate. The control and communication system includes the use of adaptive sampling algorithms (during identified periods of low demand, through temperature and current measurements) the cells transmit data at 0.2 Hz, increasing to 5 Hz (normal operation) or 10 Hz (beyond operating limits). This method was demonstrated via drive cycling and external heating to alert the master controller to abnormal operating conditions (rapidly, to avoid missing key features) while saving 65 % volume of data during a 90 minute experiment.

show abstract

Section: Motivationmentioning

confidence: 99%

A Smart Cell Monitoring System Based on Power Line Communication—Optimization of Instrumentation and Acquisition for Smart Battery Management

Vincent¹,

Gulsoy

Sansom

et al. 2021

IEEE Access

View full text Add to dashboard Cite

show abstract

“…Study on various equipment faults on a single type of commercial airliner using data only. (Pandian et al, 2020) 14.…”

Section: Methodsmentioning

confidence: 99%

Review for State-of-the-Art Health Monitoring Technologies on Airframe Fuel Pumps

Verhulst

Judt

Lawson

et al. 2022

IJPHM

View full text Add to dashboard Cite

Aircraft maintenance is an essential cost borne by the airline. Improving maintenance practices for day-to-day operations can lead to significant financial savings. The benefits of effective maintenance are derived from the avoided costs caused by unexpected breakdowns and from maximising aircraft flight time transporting passengers. The fuel system is a crucial part of the entire aircraft as it ensures delivery of the fuel to the engine and a key component within this system are the fuel pumps. These airborne fuel pumps are classified between the pumps installed in the airframe fuel system and in the engine fuel system. Past works have investigated the performance characteristics of these pumps during flight, however there are no reviews related to the present Health Monitoring (HM) capabilities under flight conditions. HM refers to the field of diagnosing faults or predicting the remaining useful life (RUL) of the pump and the focus of this review is to highlight the HM technologies suitable for aircraft fuel pumps. This is done by first reviewing the technologies and concepts related to HM of fuel pumps. Second a literature review is carried out on pump and motor faults is carried out, drawing on examples from aerospace and other relevant industries. Section 6: Conclusion, discusses the HM technologies have been applied to aerospace fuel pumps and highlights the gaps in capabilities, based on the findings of the literature review carried out in Section 4: Common Faults and Section 5: HM Sensing Methods to suggest future developments in this field. It was found that there is a large scope for development for the HM airframe fuel pumps, based on reviewing the present state of the art. Furthermore, there are no clear strategies formulated by airframe manufacturers and equipment suppliers to test and implement existing HM solutions to operate under flight conditions. This highlights the need to develop HM in this field and a requirement for further research to allow this technology to be a part of routine aircraft

show abstract

“…Once a failure occurs, it will often cause huge property losses and even casualties [1,2]. For example, in January 2013, Boeing 737 experienced failures two times in the electrical power system [3,4]: on 7 January, a Japan Airlines Boeing 787 caught fire on the tarmac at Boston Airport due to a battery fire, causing a direct loss of $600 million [5]; then on 16 January, another Boeing 787 made an emergency landing at Takamatsu Airport after a battery failure, which triggered a safety warning in the cockpit [6]. In fact, as early as the test flight stage in September 2010, the aircraft also experienced serious failures of electric panel fires and power outages.…”

Section: Introductionmentioning

confidence: 99%

Reliability Uncertainty Analysis Method for Aircraft Electrical Power System Design Based on Variance Decomposition

Wang

Cai

et al. 2022

Applied Sciences

View full text Add to dashboard Cite

As a safety critical system, affected by cognitive uncertainty and flight environment variability, aircraft electrical power system proves highly uncertain in its failure occurrence and consequences. However, there are few studies on how to reduce the uncertainty in the system design stage, which is of great significance for shortening the development cycle and ensuring flight safety during the operation phrase. For this reason, based on the variance decomposition theory, this paper proposes an importance measure index of the influence of component failure rate uncertainty on the uncertainty of power supply reliability (system reliability). Furthermore, an algorithm to calculate the measure index is proposed by combining with the minimum path set and Monte Carlo simulation method. Finally, the proposed method is applied to a typical series-parallel system and an aircraft electrical power system, and a criteria named as “quantity and degree optimization criteria” is drawn from the case study. Results demonstrate that the proposed method indeed realizes the measurement of the contribution degree of component failure rate uncertainty to system reliability uncertainty, and combined with the criteria, proper solutions can be quickly determined to reduce system reliability uncertainty, which can be a theoretical guidance for aircraft electrical power system reliability design.

show abstract

Data-driven reliability analysis of Boeing 787 Dreamliner

Cited by 24 publications

References 6 publications

A Smart Cell Monitoring System Based on Power Line Communication—Optimization of Instrumentation and Acquisition for Smart Battery Management

A Smart Cell Monitoring System Based on Power Line Communication—Optimization of Instrumentation and Acquisition for Smart Battery Management

Review for State-of-the-Art Health Monitoring Technologies on Airframe Fuel Pumps

Reliability Uncertainty Analysis Method for Aircraft Electrical Power System Design Based on Variance Decomposition

Contact Info

Product

Resources

About