J1930 Electrical/Electronic Systems Diagnostic Terms, Definitions, Abbreviations, and Acronyms Web Tool Spreadsheet
This Digital Annex contains all of the information previously found within the SAE J1930 tables, including diagnostic terms applicable to electrical/electronic systems and related mechanical terms, definitions, abbreviations, and acronyms.
Comparison of Laser-Extinction and Natural Luminosity Measurements for Soot Probing in Diesel Optical Engines
Abstract Soot emissions from diesel internal combustion engines are strictly regulated nowadays. Laser extinction measurement (LEM) and natural luminosity (NL) of sooty flames are commonly applied to study soot. LEM measures soot along the laser beam path and it can probe soot regardless of temperature. NL integrates the whole field of view and relies on soot temperature. In this work, a comparison of simultaneously recorded LEM and NL data has been performed in a heavy-duty optical engine. A 685 nm laser beam is used for LEM. The laser was modulated at 63 kHz, which facilitated subtraction of the background NL signal from the raw LEM data. By Beer-Lambert’s law, KL factor can be calculated and used as a metric to describe soot measurements. A compensation of transmitted laser intensity fluctuation and soot deposits on optical windows has been performed in this work.
SAE J3005-2 Permanently or semi-permanently installed diagnostic communication devices – Security guideline
SAE J3005-2 describes OBD interface security guidelines for J1979 communications and best practices for telematic devices connected with the SAE J1962 OBD vehicle connector.
Diagnostic Method for a Landing Gear and Doors Actuation System Based on a State Machine Control Algorithm
Abstract A Landing Gear Control and Actuation System (LGCAS) is one of the most complex aircraft systems. Due to the large landing gear masses and high performance requirements, aircraft hydraulic power with multiple hydraulic actuators and valves is used to provide system dynamic. LGCAS also requires a electrical source of energy for the electro-mechanical components, sensors and electronic control unit. For many years, correct fault isolation in a complex kinematic system, such as an aircraft landing gear actuation system, has been a great challenge with limited success. The fault isolation design challenge rests on the fact that landing gear control and actuation system has many so called “passive” components, whose basic function cannot be continuously monitored without additional sensors, transducers, and designated health monitoring equipment.
Abstract Turbulence is by far the number one concern of anxious passengers and a cause for airline injuries. Apart from causing discomfort to passengers, it also results in unplanned downtime of aircrafts. Currently the Air Traffic Control (ATC) and the meteorological weather charts aid the pilot in devising flight paths that avoid turbulent regions. Even with such tailored flight paths, pilots report constant encounters with turbulence. The probability of turbulence avoidance can be increased by the use of predictive models on historical and transactional data. This paper proposes the use of predictive analytics on meteorological data over the geographical area where the aircraft is intended to fly. The weather predictions are then relayed to the cloud server which can be accessed by the aircraft planned to fly in the same region. Predictive algorithms that use Time series forecasting models are discussed and their comparative performance is documented.
SAE J3005-1 is being published as a new document which replaces J3005:20140602 ( Guidance for Remote I/M programs, Portable Emission Measurement Systems (PEMS), GPS, Wireless-LAN or Bluetooth interfaces and insurance devices.) The SAE J3005-1 devices are not intended to be used for SAE J1699-3 vehicle validation testing. The document focuses on OBD mandated communication protocols defined in SAE J1979.
This Technical Information Report defines the proprietary diagnostic communication protocol for ABS or VSA ECU (Electronic Control Unit) implemented on some Honda vehicles. This protocol does not apply to all Honda vehicles. This document should be used in conjunction with SAE J2534-2 in order to fully implement the communication protocol in an enhanced SAE J2534 interface. The purpose of this document is to specify the requirements necessary to implement the communication protocol in an enhanced SAE J2534 interface.
This Technical Information Report defines the diagnostic communication protocol TP2.0. This document should be used in conjunction with SAE J2534-2 in order to fully implement the communication protocol in an SAE J2534 interface. Some Volkswagen of America and Audi of America vehicles are equipped with ECU(s), in which a TP2.0 proprietary diagnostic communication protocol is implemented. The purpose of this document is to specify the requirements necessary to implement the communication protocol in an SAE J2534 interface.
The J2012 Digital Annex of Diagnostic Trouble Code Definitions Spreadsheet provides DTC information in an excel format for use in your organization's work processes. The column headings include the same information as contained in the J2012 standard.
There is also a column heading denoting which DTC have been updated in the current version.
The purpose of this document is to specify the functional requirements for a miniature connector to be used for health monitoring purposes on aircraft (including harsh environments such as found in propulsion systems). It is actually a family of miniature connectors that is specified in this document for various uses (e.g., pin counts) and environments. This specification will be used by the SAE committee for connectors (AE-8C1) to study the feasibility of developing a dedicated connector standard.
Abstract The recent use of electric motors for vehicle propulsion has stimulated the development of numerical methodologies to predict their noise and vibration behavior. These simulations generally use models based on an ideal electric motor. But sometimes acceleration and noise measurements on electric motors show unexpected harmonics that can generate acoustic issues. These harmonics are mainly due to the deviation of the manufactured parts from the nominal dimensions of the ideal machine. The rotor eccentricities are one of these deviations with an impact on acoustics of electric motors. Thus, the measurement of the rotor eccentricity becomes relevant to understand the phenomenon, quantify the deviation and then to use this data as an input in the numerical models. An innovative measurement method of rotor eccentricities using fiber optic displacement sensors is proposed.
This Aerospace Recommended Practice (ARP) was created to help industry deal with existing barriers to the successful implementation of Integrated Vehicle Health Management (IVHM) technology in the aerospace and automotive sectors. That is,given the common barriers that exist, this ARP can be applied not only to aerospace but also to the automotive, commercial and military vehicle sectors. Original Equipment Manufacturers (OEMs) in all of these sectors are heavily dependant upon a large number of component suppliers in order to design and build their products. The advent of IVHM technology has accentuated the need for improved coordination and communication between the OEM and its suppliers –to ensure that suppliers design health ready capabilities into their particular components.
This document establishes methods to obtain, store, and access data about the health of a fiber optic network using commercial sensors located in or near the transceiver. This document is intended for: Managers, Engineers, Contracting Officers, Third Party Maintenance Agencies, and Quality Assurance.
This document is applicable to military aircraft where stakeholders are seeking guidance on the development and approval of Structural Health Monitoring (SHM) technologies and on the integration of these technologies into encompassing maintenance and operational support systems. The document will refer to those guidelines prepared under SAE ARP6461 that are relevant and applicable to military applications.
The intent of the specification is to present a functional set of requirements which define the user and hardware interfaces while providing sufficient capability to meet the misfire patterns for compliance demonstration and engineering development. The misfire generator behaves as a spark-defeat device which induces misfires by inhibiting normal ignition coil discharge. It does so by monitoring the vehicle’s ignition timing signals and suspends ignition coil saturation for selected cylinder firing events. The misfire generator will thereby induce engine misfire in spark ignited gasoline internal combustion engines; including rotary engines. This requirement assumes that the user has a fundamental understanding of misfire diagnostics as well as ignition controls. This requirement is not intended to be an introductory misfire guideline or interpretation of regulatory requirements.
Base-engine value engineering for higher fuel efficiency and enhanced performance Continuous improvement in existing engines can be efficiently achieved with a value engineering approach. The integration of product development with value engineering ensures the achievement of specified targets in a systematic manner and within a defined timeframe. Integrated system engineering for valvetrain design and development of a high-speed diesel engine The lead time for engine development has reduced significantly with the advent of advanced simulation techniques. Cars poised to become 'a thing' Making automobiles part of the Internet of Things brings both risks and rewards. Agility training for cars Chassis component suppliers refine vehicle dynamics at the high end and entry level with four-wheel steering and adaptive damping.
This document has been declared "CANCELLED" by the E32 committee as of April 2016 and has been superseded by ARP5120. By this action, this document will remain listed in the Numerical Section of the Aerospace Standards Index noting that it is superseded by ARP5120. Cancelled specifications are available from SAE.
In order to realize the benefits of Integrated Vehicle Health Management (IVHM) within the aerospace and defense industry there is a need to address five critical elements of data interoperability within and across the aircraft maintenance ecosystem, namely • Approach • Trust • Context • Value • Security In Integrated Vehicle Health Management (IVHM) data interoperability is the ability of different authorized components, systems, IT, software, applications and organizations to securely communicate, exchange data, interpret data, use the information and derive consistent insight from the data that has been exchanged to derive value.
Electrical/Electronic Systems Diagnostic Terms, Definitions, Abbreviations, and Acronyms--Equivalent to ISO/TR 15031-2
This SAE Recommended Practice supersedes SAE J1930 Apr 2002, and is technically equivalent to ISO 15031-2. This document is applicable to all light-duty gasoline and diesel passenger vehicles and trucks, and to heavy-duty gasoline vehicles. Specific applications of this document include diagnostic, service and repair manuals, bulletins and updates, training manuals, repair data bases, underhood emission labels, and emission certification applications. This document should be used in conjunction with SAE J1930-DA Digital Annexes, which contains all of the information previously contained within the SAE J1930 tables. These documents focus on diagnostic terms applicable to electrical/electronic systems, and therefore also contains related mechanical terms, definitions, abbreviations, and acronyms.
Generic Model Based Architecture for Implementing Client Side Algorithms Used in Unified Diagnostic Service and On Board Diagnostics for Different Hardware Targets
Abstract Unified Diagnostic Service and On Board Diagnostics require a client side device with necessary software to implement certain specific algorithms. This paper proposes a highly optimized and generic model based architecture to implement client side algorithms used in Unified Diagnostic Service systems and with On Board Diagnostics which can be reused for any hardware target. The proposed method can implement particular algorithms which include flow control, timing control, database parsing, logging of messages, diagnostic database parsing, security unlock, intuitive HMI layer, DTC display with textual information, frame control, multi network - multi ECU support, software flashing, physical-functional message handling, and interfacing for multiple hardware host devices. Re-usability of this model based product ensures that it can be ported to the diagnostic tool used by a work shop engineer or by a diagnostics validation engineer working at OEM or Tier 1suppliers.
Remote Diagnosis, Maintenance and Prognosis for Advanced Driver Assistance Systems Using Machine Learning Algorithms
Abstract New challenges and complexities are continuously increasing in advanced driver assistance systems (ADAS) development (e.g. active safety, driver assistant and autonomous vehicle systems). Therefore, the health management of ADAS’ components needs special improvements. Since software contribution in ADAS’ development is increasing significantly, remote diagnosis and maintenance for ADAS become more important. Furthermore, it is highly recommended to predict the remaining useful life (RUL) for the prognosis of ADAS’ safety critical components; e.g. (Ultrasonic, Cameras, Radar, LIDAR). This paper presents a remote diagnosis, maintenance and prognosis (RDMP) framework for ADAS, which can be used during development phase and mainly after production. An overview of RDMP framework’s elements is explained to demonstrate how/when this framework is connected to database servers and remote analysis servers.
Abstract The performance of the rear axle plays an important role in the performance of vehicle, and its fatigue durability is an integral part in the vehicle development. Taking a SUV model as the research subject, a new methodology of multi-channel spindle coupled road simulator and fatigue simulation analysis for rear axle assembly was introduced in the paper, aiming to address the fatigue design and its verification for the rear axle in the development phase. Firstly, road loads in the proving ground was collected by arranging proper sensors. Secondly, physical iteration was performed on the multichannel spindle coupled road simulator by taking six component forces at the wheel hub as the target signals. Then, after the time waveform replication of the loads the durability test was conducted. Finally, the validated simulation model was successfully implemented to improve the fatigue life of the axle.
APP-Based Diagnostics of E/E Systems with ISO Standardized Technology (MVCI, ODX, OTX, and UDS on DoIP)
Abstract Passenger cars are equipped with an OBD connector according to SAE J1962 / ISO 15031-3. Passenger cars that support ISO UDS on DoIP use the same connector with Ethernet pins according to ISO/DIS 13400-4 (Ethernet diagnostic connector). If external test equipment is connected to the Ethernet diagnostic connector via a 100BASE-TX cable with the RJ45 connector at the tester, a VCI is not necessary anymore. With a device that fits the Ethernet diagnostic connector physically and acts as a converter between the Ethernet signals and WLAN, external test equipment that supports wireless communication, can be connected to the vehicle. Examples for such wireless external test equipment include Android/iOS- based smart phones and tablets with purpose-made applications (APPs). The software components of external test equipment are standardized in ISO 22900 (MVCI). The MVCI D-Server processes data in ODX (ISO 22901) and sequences in OTX (ISO 13209).
Abstract High-speed planar laser Mie scattering and Laser Induced Fluorescence (PLIF) were employed for the determination of Sauter Mean Diameter (SMD) distribution in non-evaporating diesel sprays. The effect of rail pressure, distillation profile, and consequent fuel viscosity on the drop size distribution developing during primary and secondary atomization was investigated. Samples of conventional crude-oil derived middle-distillate diesel and light distillate kerosene were delivered into an optically accessible mini-sac injector, using a customized high-pressure common rail diesel fuel injection system. Two optical channels were employed to capture images of elastic Mie and inelastic LIF scattering simultaneously on a high-speed video camera at 10 kHz. Results are presented for sprays obtained at maximum needle lift during the injection. These reveal that the emergent sprays exhibit axial asymmetry and vorticity.
Abstract Engine acoustics measured by microphones near the engine have been used in controlled laboratory settings for combustion feedback and even combustion phasing control, but the use of these techniques in a vehicle where many other noise sources exist is problematic. In this study, surface-mounted acoustic emissions sensors are embedded in the block of a 2.0L turbocharged GDI engine, and the signal is analyzed to identify useful feedback features. The use of acoustic emissions sensors, which have a very high frequency response and are commonly used for detecting material failures for health monitoring, including detecting gear pitting and ring scuffing on test stands, enables detection of acoustics both within the range of human hearing and in the ultrasonic spectrum. The high-speed acoustic time-domain data are synchronized with the crank-angle-domain combustion data to investigate the acoustic emissions response caused by various engine events.
Abstract Model based approaches for engine fault diagnosis mostly address the faults external to cylinder since they predominantly use simplified averaged models which do not capture within cycle dynamics. Hence, by using an instantaneous engine model which distinctly characterizes the cylinder’s modes, the events occurring within the cycle can be captured. The events happening across various modes and the engine subsystems can be due to normal operation or faults whose symptoms can be seen as features. In this work, which involves detection and classification of faults occurring in cylinders, is carried out in simulation environment, where, a Kalman filter for state estimation incorporating a nominal instantaneous mode based engine model is considered. Using this estimator as base, faults occurring repetitively (every cycle) are addressed whose features are seen across relevant modes of a cycle.
This document is intended to supplement SAE J2403 by providing the content of Table 1, Table 2, and Table 3 from SAE J2403 in a form that can be sorted and searched for easier use. It is NOT intended as a substitute for the actual document, and any discrepancies between this Digital Annex and the published SAE J2403 document must be resolved in favor of the published document. This document provides the content of Table 1 and Table 2 published in SAE J2403 into the single table in the 'Term' tab, while the 'Recommended Term Definitions' tab provides the content of Table 3 in SAE J2403 and the 'Glossary' tab provides the content of Table 4 in SAE J2403.
This Aerospace Information Report (AIR) is a general overview of typical airborne engine vibration monitoring (EVM) systems applicable to fixed or rotary wing aircraft applications, with an emphasis on system design considerations. It describes EVM systems currently in use and future trends in EVM development. The broader scope of Health and Usage Monitoring Systems, (HUMS ) is covered in SAE documents AS5391, AS5392, AS5393, AS5394, AS5395, AIR4174.
SAE J1939-73 Diagnostics Application Layer defines the SAE J1939 messages to accomplish diagnostic services and identifies the diagnostic connector to be used for the vehicle service tool interface. Diagnostic messages (DMs) provide the utility needed when the vehicle is being repaired. Diagnostic messages are also used during vehicle operation by the networked electronic control modules to allow them to report diagnostic information and self-compensate as appropriate, based on information received. Diagnostic messages include services such as periodically broadcasting active diagnostic trouble codes, identifying operator diagnostic lamp status, reading or clearing diagnostic trouble codes, reading or writing control module memory, providing a security function, stopping/starting message broadcasts, reporting diagnostic readiness, monitoring engine parametric data, etc.
This document supersedes SAE J2012 DEC2007, and is technically equivalent to ISO 15031-6:2010 with the exceptions described in Section 1.2. This document is intended to define the standardized Diagnostic Trouble Codes (DTC) that On-Board Diagnostic (OBD) systems in vehicles are required to report when malfunctions are detected. SAE J2012 may also be used for decoding of enhanced diagnostic DTCs and specifies the ranges reserved for vehicle manufacturer specific usage. This document includes: a. Diagnostic Trouble Code format. b. A description of the standardized set of Diagnostic Trouble Codes and descriptions contained in SAE J2012-DA. The two most significant bytes of a DTC may be decoded according to two different lists; DTC Format Identifier 0x00 and 0x04. c. A description of the standardized set of Diagnostic Trouble Codes subtypes known as Failure Types contained in SAE J2012-DA (applies only when three byte DTCs are used).